CN104125396B - Image capturing method and device - Google Patents
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- CN104125396B CN104125396B CN201410287143.5A CN201410287143A CN104125396B CN 104125396 B CN104125396 B CN 104125396B CN 201410287143 A CN201410287143 A CN 201410287143A CN 104125396 B CN104125396 B CN 104125396B
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Abstract
The disclosure provides a kind of image capturing method and device, the method include：Template is shot according to user instruction selected digital image；It finds a view the posture feature of target of being taken in picture；The posture feature that the posture feature for the target that is taken in the picture of finding a view is shot to the target that is taken in template with described image is compared, and obtains posture similarity；When the posture similarity reaches predetermined threshold value, shooting operation is performed.By the technical solution of the disclosure, user can be helped to shoot and similarity higher picture identical with image taking template posture.
Description
Technical field
This disclosure relates to technical field of image processing more particularly to image capturing method and image capturing device.
Background technology
User often has the demand that a kind of fixed posture is taken pictures when application terminal equipment is taken pictures.For example, user
The photo that daily self-timer one opens equal angular, identical posture is may wish to, for recording the variation of the life in a period of time；Or
Person, user wish to imitate oneself or other people (such as stars) more classical beautiful posture when taking pictures, such as face upward first 45 degree or
Person's aircraft carrier style etc..
In this regard, by the way that model's photo of the different postures to prestore is covered in picture of finding a view in the relevant technologies, to user
Offer is taken pictures reference, to meet the above-mentioned demand of taking pictures of user.
Only it is merely that provide the user one due in shooting process, stating model's photo however, in said program
With reference to can not fundamentally ensure that user can take the picture higher with model's photo posture similarity.
Invention content
To overcome the problems in correlation technique, the disclosure provides image capturing method and image capturing device.
According to the embodiment of the present disclosure in a first aspect, provide a kind of image capturing method, including：
Template is shot according to user instruction selected digital image；
It finds a view the posture feature of target of being taken in picture；
By the target that is taken in the posture feature for the target that is taken in the picture of finding a view and described image shooting template
Posture feature is compared, and obtains posture similarity；
When the posture similarity reaches threshold value, shooting operation is carried out.
Optionally, it before the shooting template according to user instruction selected digital image, further includes：Preserve the image of user's loading
Shoot template；Obtain the posture feature for the target that is taken in described image shooting template.
Optionally, the posture feature for the target that is taken in the picture of finding a view includes：It finds a view described in detection in picture
The target that is taken whether be goal-selling type；When the target that is taken in picture of finding a view described in detecting is goal-selling class
It finds a view during type, described in acquisition the posture feature of target of being taken in picture.
Optionally, the posture feature by the target that is taken and the target that is taken in described image shooting template
Corresponding posture feature is compared, and show that posture similarity includes：The target and described of being taken found a view described in generation in picture
The feature vector of each single item posture feature of the target that is taken in image taking template；Calculate each single item posture feature
Vector distance between feature vector；Preset distance and similarity correspondence are inquired according to the vector distance, obtain institute
State the similarity of each single item posture feature；According to the weight ratio of each single item posture feature to the similarity of each single item posture feature
It is weighted, obtains the posture similarity.
Optionally, it is further included before the posture feature for the target that is taken in the picture of finding a view：Described image is clapped
It takes the photograph template and carries out contoured processing；By treated, described image shoots the profile Overlapping display of template in the picture of finding a view
In.
Optionally, it is described when the posture similarity reaches threshold value, it performs shooting operation and includes：When the posture is similar
When degree reaches threshold value, prompt message is exported to user；When receiving the shooting instruction that user inputs according to the prompt message,
Trigger shooting operation.
Optionally, it is described when the posture similarity reaches threshold value, it performs shooting operation and includes：When the posture is similar
When degree reaches threshold value, automatic trigger shooting operation.
Optionally, it further includes：By multiple images shot by the shooting operation with the side of image sequence or short-sighted frequency
Formula is showed；Or, show after multiple images shot by the shooting operation are obtained the average image.
According to the second aspect of the embodiment of the present disclosure, a kind of image capturing device is provided, including：Chosen module, for root
Template is shot according to user instruction selected digital image；
First acquisition module, for the posture feature for the target that is taken in picture of finding a view；
Comparison module, for the posture feature for the target that is taken in the picture of finding a view to be shot with described image in template
The posture feature for the target that is taken is compared, and obtains posture similarity；
Taking module, for when the posture similarity reaches threshold value, performing shooting operation.
Optionally, described device further includes：
Preserving module, for preserving the image taking template of user's loading；
Second acquisition module, for obtaining the posture feature for the target that is taken in described image shooting template.
Optionally, first acquisition module further includes：
Whether module of target detection is goal-selling type for detecting the target that is taken in the picture of finding a view；
Posture acquisition module, for when the target that is taken in detecting the picture of finding a view is goal-selling type,
The posture feature for the target that is taken described in acquisition.
Optionally, the comparison module includes:
Vector generation module, for generating being taken in target and described image shooting template in the picture of finding a view
The feature vector of each single item posture feature for the target that is taken；
Vector calculation module, for calculating the vector distance between the feature vector of each single item posture feature；
Vector query module for inquiring preset distance and similarity correspondence according to the vector distance, obtains
The similarity of each single item posture feature；
Weighted calculation module, for the weight ratio according to each single item posture feature to the similarity of each single item posture feature
It is weighted, obtains the posture similarity.
Optionally, described device further includes：
Processing module, for carrying out contoured processing to described image shooting template；
Laminating module, for described image to shoot the profile Overlapping display of template in the picture of finding a view by treated
In.
Optionally, the taking module includes：
Reminding module, for when the posture similarity reaches predetermined threshold value, prompt message to be exported to user；
First trigger module, for when receiving the shooting instruction that user inputs according to the prompt message, triggering to be clapped
Take the photograph operation.
Optionally, the taking module includes：
Second trigger module, for when the posture similarity reaches threshold value, automatic trigger shooting operation.
Optionally, described device includes at least one with lower module：
First display module, for will be by multiple images that the shooting operation is shot with image sequence or short-sighted frequency
Mode is showed；
Second display module, for opening up after multiple images shot by the shooting operation are obtained the average image
It is existing.
According to the third aspect of the embodiment of the present disclosure, a kind of image capturing device is provided, including：Processor；For storing
The memory of processor-executable instruction；Wherein, the processor is configured as：Mould is shot according to user instruction selected digital image
Plate；It finds a view the posture feature of target of being taken in picture；By the posture feature for the target that is taken in the picture of finding a view with
The posture feature for the target that is taken in described image shooting template is compared, and obtains posture similarity；When the posture is similar
When degree reaches threshold value, shooting operation is performed.
The technical scheme provided by this disclosed embodiment can include the following benefits：
In the above example of the disclosure, pass through the posture feature for the target that is taken and image taking template that will be got
In the be taken correspondence posture feature of target be compared, obtain posture similarity, and reach threshold value in the posture similarity
Shi Zhihang shooting operations can help user to shoot and similarity higher picture identical with image taking template posture.
In the above example of the disclosure, it can also be preserved by regarding the picture that user loads as image taking template
Come, to facilitate directly used when taking pictures next time, realize the User Defined of picture shooting template, help to promote user's body
It tests.
In the above various embodiments of the disclosure, the posture feature for the target that is taken in picture of finding a view can also be passed through
The detection of goal-selling type is carried out before, to determine whether the shot type in the picture of finding a view is goal-selling type,
It can be to avoid the posture feature information unrelated with goal-selling type be got, so as to reduce calculation amount.
In the above example of the disclosure, contoured processing can also be carried out, and will by the way that described image is shot template
The profile of described image that treated shooting template is superimposed upon in picture of finding a view so that user can be to the posture for the target that is taken
It is corrected, so as to improve shooting quality.
It, can also be by when the posture similarity reaches predetermined threshold value, to user in the above example of the disclosure
Export prompt message；And when receiving the shooting instruction that user inputs according to the prompt message, shooting operation is triggered, so as to
A kind of new screening-mode is provided, to adapt to different user demands, user experience can be promoted.
In the above example of the disclosure, by the way that image will have been shot can also dynamically show, can reach fine
Contrast effect, so as to promote user experience.
It should be understood that above general description and following detailed description are only exemplary and explanatory, not
The disclosure can be limited.
Description of the drawings
Attached drawing herein is incorporated into specification and forms the part of this specification, shows the implementation for meeting the disclosure
Example, and for explaining the principle of the disclosure together with specification.
Fig. 1 is the flow diagram according to a kind of image capturing method shown in an exemplary embodiment；
Fig. 2 is the flow diagram according to another image capturing method shown in an exemplary embodiment；
Fig. 3 is the photographed scene signal according to superposition shooting template contours in the picture of finding a view shown in an exemplary embodiment
Figure；
Fig. 4 is the schematic block diagram according to a kind of image capturing device shown in an exemplary embodiment；
Fig. 5 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment；
Fig. 6 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment；
Fig. 7 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment；
Fig. 8 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment；
Fig. 9 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment；
Figure 10 is the schematic block diagram according to a kind of image capturing device shown in an exemplary embodiment；
Figure 11 is the schematic block diagram according to a kind of image capturing device shown in an exemplary embodiment；
Figure 12 is the structure diagram according to a kind of image capturing device shown in an exemplary embodiment.
Specific embodiment
Here exemplary embodiment will be illustrated in detail, example is illustrated in the accompanying drawings.Following description is related to
During attached drawing, unless otherwise indicated, the same numbers in different attached drawings represent the same or similar element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the disclosure.
It is only merely for the purpose of description specific embodiment in the term that the disclosure uses, and is not intended to be limiting the disclosure.
" one kind " of singulative used in disclosure and the accompanying claims book, " described " and "the" are also intended to including majority
Form, unless context clearly shows that other meanings.It is also understood that term "and/or" used herein refers to and wraps
Containing one or more associated list items purposes, any or all may be combined.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the disclosure
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, not departing from
In the case of disclosure range, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as
One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
Fig. 1 is the flow diagram according to a kind of image capturing method shown in an exemplary embodiment.
As shown in Figure 1, a kind of image capturing method according to an exemplary embodiment, including：
In a step 101, template is shot according to user instruction selected digital image；
After mobile terminal starts shooting function, the camera of the mobile terminal starts enabled and enters live view shape
State, picture of finding a view in real time are presented by the display screen of mobile terminal to user.The client at this point, user can be taken pictures by preview
The template list in software is held, come the image taking template that clock is selected to anticipate.Wherein, described image shooting template, can be described
The default template preloaded in client of taking pictures or the template loaded by User Defined, and taken pictures by described
Client is extracted the posture feature for the target that is taken by preset algorithm in advance.
In a step 102, it finds a view the posture feature of target of being taken in picture；
After user selected image shoots template, client software is found a view the present frame figure in picture in real time at this time
Picture, and the current frame image is calculated by the preset algorithm, to obtain the mesh that is taken in the current frame image
Target posture feature.
In step 103, by the target that is taken in the posture feature of the target that is taken and described image shooting template
Correspondence posture feature be compared, obtain posture similarity；
Since the posture feature can be expressed as the form of vector, the comparison of posture feature can be converted to posture feature
The distance between vector is obtained in comparison between vector, the vector distance being obtained then is converted into the posture similarity.
At step 104, when the posture similarity reaches threshold value, shooting operation is performed.
The value size of the threshold value, in the disclosure also without being particularly limited to, those skilled in the art can be according to reality
User demand be configured.
As seen from the above-described embodiment, it is clapped by the posture feature and image for the target that is taken in the picture of finding a view that will get
The correspondence posture feature for taking the photograph in template the target that is taken is compared, and obtains posture similarity, and reach in the posture similarity
Shooting operation is performed during to threshold value, user can be helped to shoot and similarity higher figure identical with image taking template posture
Piece.
As shown in Fig. 2, Fig. 2 is the flow chart according to another image capturing method shown in an exemplary embodiment.Value
It must illustrate, in the present embodiment by the target that is taken to be illustrated for personage, by the target that is taken for for personage
It is exemplary only, it is not used to limit the disclosure.
Another image capturing method as shown in Figure 2, including step performed below：
In step 201, template is shot according to user instruction selected digital image；
After mobile terminal starts shooting function, the camera of the mobile terminal starts enabled and enters live view shape
State, picture of finding a view in real time are presented by the display screen of mobile terminal to user.The client at this point, user can be taken pictures by preview
The template list in software is held, come the image taking template that clock is selected to anticipate.For example, user can be by using in finger touch display screen
Corresponding position select image taking template so that the instruction that mobile terminal is triggered according to the touch operation of user's finger
Selected digital image shoots template.
Wherein, the image taking template in the template list can be the default template preloaded in client of taking pictures,
It can also be the template of User Defined loading；
If described image shooting template is the default template preloaded in client of taking pictures, led to by client software
Cross the posture feature that preset algorithm obtains the person of being taken in described image shooting template in advance；
It, can be with before the step 201 is performed if described image shooting template is the template of User Defined loading
The image taking template of user's loading is preserved, for example, described image shooting template can be the star that user is obtained by network
Then photo obtains the posture feature that described image shoots the person of being taken in template, so that user is from loading by preset algorithm
Image taking template in select image taking template.
The posture feature of the wherein described person of being taken can usually include：Human face posture feature and human body attitude feature；
The preset algorithm, usually may include：ASM (Active Shape Model, active shape model) algorithm, AAM
(Active Appearance Model, active appearance models) algorithm, SDM (Sparse Deforming Model, it is sparse
Deformation model) algorithm, pedestrian detection algorithm, human body attitude algorithm for estimating and human body attitude algorithm for estimating etc..
In step 202, it finds a view the posture feature of target of being taken in picture；
After user selected image shoots template, client software is found a view the present frame figure in picture in real time at this time
Picture, and each frame image is calculated successively according to acquisition sequence by the preset algorithm, to obtain the present frame figure
Face and human body attitude feature as in.
For example, in one exemplary embodiment, client software can be extracted described current by ASM, AAM, SDM scheduling algorithm
The characteristic point of face in frame image, and record the position of each characteristic point；Then a larger side is extended below face location
Frame extracts HOG (the Histogram of of human body in the current frame image in the box by pedestrian detection algorithm
Oriented Gradient, histograms of oriented gradients) feature, using the HOG features as human body attitude feature；Or pass through
Human body attitude algorithm for estimating parses the position of partes corporis humani point, using the position of each section as human body attitude feature.Certainly,
Human body attitude feature in can also extracting the current frame image first when realizing, then extends one more than position of human body
Larger box extracts the human face posture feature in the current frame image in the box；It alternatively, can also be according to different calculations
Method extracts face and human body attitude feature respectively.In the disclosure, not to obtain image in posture feature used by preset
Algorithm and sequence of extraction are particularly limited.
In step 203, being clapped in target and described image shooting template that be taken found a view described in generation in picture
Take the photograph the feature vector of each single item posture feature of target；
Due to the face and human body attitude feature that are got by the preset algorithm, it can be expressed as the shape of vector
Therefore the human face posture feature for the person of being taken and human body attitude feature, in this step, can be generated as face appearance by formula respectively
State feature vector and human body attitude feature vector；
In step 204, the vector distance between the feature vector of each single item posture feature is calculated；
When carrying out vector distance calculating, can calculate respectively the human face posture feature vector and human body attitude feature to
Vector distance between amount obtains human face posture feature vector distance and human body attitude feature vector distance.
In step 205, preset distance and similarity correspondence are inquired according to the vector distance, obtained described every
The similarity of one posture feature；
By the human face posture feature vector distance calculated and human body attitude feature vector distance respectively inquire it is preset to
Span is from the correspondence between similarity value, with regard to that can show that corresponding human face posture similarity is similar with human body attitude
Degree.
For example, if the correspondence between preset vector distance and similarity value is as shown in table 1 below：
| Vector distance | 1 | 2 | 3 | 4 | 5 | 6 |
| Similarity value | 1 | 0.8 | 0.6 | 0.4 | 0.2 | 0 |
Table 1
If the vector distance between the human face posture feature vector of the person of being taken calculated at this time is 2, human body attitude
Vector distance between feature vector is 3, and it is 0.8 to check in human face posture similarity thus according to above-mentioned correspondence；Human body appearance
State similarity is 0.6；
In step 206, the similarity of each single item posture feature is carried out according to the weight ratio of each single item posture feature
Weighted calculation obtains the posture similarity；
Wherein, face or the corresponding weight ratio of human body attitude feature, refer to face or human body attitude feature to the appearance
The influence degree of state similarity.The weight ratio can be according to face and human body in picture of finding a view occupied area size and
Setting；The face and human body the occupied area size in picture of finding a view can obtain face and people by preset algorithm
It is obtained during the posture feature of body；The face and human body attitude similarity are weighted and referred to, the people that will be calculated
Face posture similarity is added after being multiplied by the weighting ratio of itself respectively with human body attitude similarity.
It should be noted that：On the one hand, for some special photographed scenes, for example major part shines or the person of being taken is back to mirror
In the case of head, the posture feature for the person of being taken usually only includes human face posture feature or human body attitude feature；Then, it will calculate
The human face posture feature vector distance gone out or the human body attitude feature vector distance are by inquiring preset vector distance
Correspondence between similarity value, with regard to that can obtain the posture similarity；
On the other hand, for normal photographing scene, the posture feature for the person of being taken generally includes human face posture feature and people
Body posture feature, then, by the human face posture feature vector distance calculated and the human body attitude feature vector distance
The correspondence between preset vector distance and similarity value is inquired respectively, with regard to that can obtain corresponding human face posture similarity
With human body attitude similarity, then according to the weight ratio of setting to human face posture similarity and human body attitude similarity into
After row weighted calculation, the posture similarity is obtained.
For example, user use mobile terminal carry out vista shot when, due in vista shot human body in picture of finding a view
Middle occupied area is usually larger, it is believed that human body attitude feature is affected to final posture similarity, so as to be human body appearance
State feature sets a higher weight ratio.Assuming that the size of human body occupied area is face shared by face in picture of currently finding a view
Long-pending 3 times, then can corresponding be human body attitude when to human body attitude feature and human body attitude feature setting weight ratio
Feature sets the weight ratio of one 0.75, and the weight ratio of one 0.25 is set for face posture feature.To the face
When being weighted with human body attitude similarity, the human face posture similarity calculated is multiplied by 0.25 and obtains human face posture phase
Like the weighted results of degree, the human body attitude similarity calculated is multiplied by 0.75 and obtains the weighted results of human body attitude similarity,
Then the weighted results of the human face posture similarity are added to obtain with the weighted results of the human body attitude similarity described
Posture similarity.
In step 207, when the posture similarity reaches threshold value, shooting operation is performed；
After the posture similarity is calculated, judge whether the posture similarity has reached threshold value at this time；When described
Posture similarity has reached threshold value, then performs photographing operation, can be referred to as automatic camera pattern above.
The disclosure can also provide another exposal model, when the posture similarity threshold has reached preset threshold value
When, export prompt message to user；When receiving the shooting instruction that user inputs according to the prompt message, triggering shooting behaviour
Make, manual exposal model can be referred to as above.In addition, when the posture similarity is not up to the threshold value, can also to
Family exports prompt message, user's adjustment action or posture is reminded, to adapt to the shooting template.
Wherein, the prompt message can take current posture similarity in the disclosure without being particularly limited to
Value is prompted to user in a manner of prompting frame or prompts the focus point turn colors in picture of finding a view to user.
By above example as it can be seen that by calculating current frame image and the posture phase of image taking template in picture of finding a view
Like degree, and shooting operation is performed when the posture similarity reaches threshold value, user can be helped to shoot and image taking mould
Plate posture is identical and the higher picture of similarity；Meanwhile by introducing corresponding weight ratio for posture feature so that the disclosure can
Different photographed scenes is adapted to, user experience can be enhanced.
In another optional embodiment, with reference to above-mentioned Fig. 1 or Fig. 2 shows embodiment, perform abovementioned steps 102
Or when 202, whether the target that is taken that can be detected in the picture of finding a view is goal-selling type；For example, in the present embodiment
In, the goal-selling type can be human body；When the target that is taken in picture of finding a view described in detecting is goal-selling class
It finds a view during type, described in acquisition the posture feature of target of being taken in picture.
In the present embodiment, still by default photographic subjects for for personage；When being shot to personage, detection at this time takes
Whether the target that is taken in scape picture is goal-selling type, be equal to detection find a view in picture whether the operation of someone；Therefore,
It can be taken in picture of finding a view described in acquisition before the operation of targeted attitude feature, to present frame figure in the picture of finding a view
As carry out Face datection, human testing or Face datection and human testing come determine in current picture of finding a view whether someone.
For example, can Face datection and human testing be carried out to the current frame image in picture of finding a view simultaneously, when detecting
When the current frame image includes face characteristic, characteristics of human body or face and characteristics of human body, then be taken mesh described in acquisition
Target posture feature.Otherwise, next frame image is obtained.It is of course also possible to use similar to detections such as moving object detections
Means are detected the current frame image, with determine in current picture of finding a view whether someone.
By above example as it can be seen that by being preset before being taken the posture feature of target in picture of finding a view
The detection of target type, can be to avoid acquisition to determine whether the shot type in the picture of finding a view is goal-selling type
To the posture feature information unrelated with goal-selling type, so as to reduce calculation amount.
In another optional embodiment, with reference to above-mentioned Fig. 1 or Fig. 2 shows embodiment, performing the step 102
Or before 202, template can also be shot to described image and carry out contoured processing；By the wheel of treated described image shooting template
Wide Overlapping display is in the picture of finding a view.
In the present embodiment, contoured processing is carried out, and will treated the figure by the way that described image is shot template
As the profile of shooting template is superimposed upon in picture of finding a view so that user can according to the profile to the posture of the target that is taken into
Row correction, so as to improve shooting quality.
For example, Fig. 3 is referred to, when user needs to shoot one and " aircraft carrier Style " posture for friend by mobile terminal
The picture of " the aircraft carrier Style " of standard can be loaded into client software of taking pictures by identical photo as image taking template
In；Client software of taking pictures carries out contoured processing to the template, then will treated that profile is added to finds a view in picture, from
And user can guide the person of being taken to carry out posture alignment when taking pictures according to the profile.
In another optional embodiment, with reference to above-mentioned Fig. 1 or Fig. 2 shows embodiment, after shooting operation is performed,
Multiple images shot can also be showed in a manner of image sequence or short-sighted frequency into Mobile state；It is or more by what is shot
It opens after the average image is obtained in self-timer image and is showed.
In the present embodiment, on the one hand, image will have been shot and showed in a manner of image sequence or short-sighted frequency into Mobile state,
Good contrast effect can be reached；On the other hand, since face alignment can be more accurate, under self-timer scene,
Multiple self-timer image makings can be showed into the gradual animation effect for deforming, converting successively；Completion can will be also shot
Self-timer image issue other users, other users continuation is taken pictures according to same posture, after the average image is obtained after taking pictures in more people
It is propagated on similar to social network sites such as circle of friends, so as to promote user experience.Wherein, the average image refers to, at several
The feature of a part of face is extracted in different images respectively, then generates one newly according to the part face characteristic extracted respectively
Picture.
Corresponding with aforementioned image capturing method embodiment, the disclosure additionally provides the embodiment of image capturing device.
Fig. 4 is the schematic block diagram according to a kind of image capturing device shown in an exemplary embodiment.
As shown in figure 4, a kind of image capturing device 400 according to an exemplary embodiment, including：Chosen module
401st, the first acquisition module 402, comparison module 403, taking module 404；Wherein：
Chosen module 401 is configured as, and template is shot according to user instruction selected digital image；
First acquisition module 402 is configured as, the posture feature for the target that is taken in picture of finding a view；
Comparison module 403 is configured as, and the posture feature for the target that is taken in the picture of finding a view and described image are clapped
The posture feature for taking the photograph in template the target that is taken is compared, and obtains posture similarity；
Taking module 404 is configured as, and when the posture similarity reaches threshold value, performs shooting operation.
In above-described embodiment, pass through the posture feature for the target that is taken in the picture of finding a view that will get and image taking mould
The correspondence posture feature for the target that is taken in plate is compared, and obtains posture similarity, and reach threshold in the posture similarity
Shooting operation is performed during value, user can be helped to shoot and similarity higher picture identical with image taking template posture.
Fig. 5 is referred to, Fig. 5 is another image capturing device block diagram of the disclosure according to an exemplary embodiment,
For the embodiment on the basis of aforementioned embodiment illustrated in fig. 4, described image filming apparatus 400 further includes preserving module 405 and
Two acquisition modules 406；
The preserving module 405 is configured as, and preserves the image taking template of user's loading；
Second acquisition module 406 is configured as, and the posture for obtaining the target that is taken in described image shooting template is special
Sign.
In above-described embodiment, saved by regarding the picture that user loads as image taking template, to facilitate next time
It is directly used when taking pictures, realizes the User Defined of picture shooting template, help to promote user experience.
Fig. 6 is referred to, Fig. 6 is another image capturing device block diagram of the disclosure according to an exemplary embodiment,
For the embodiment on the basis of aforementioned embodiment illustrated in fig. 4, first acquisition module 402 can include module of target detection
402A and posture acquisition module 402B；
Module of target detection 402A is configured as, and whether the target that is taken in picture of finding a view described in detection is goal-selling
Type；
Posture acquisition module 402B is configured as, and the target that is taken in the picture of finding a view is detected is goal-selling
The posture feature for the target that is taken during type, described in acquisition.
It should be noted that the structure of the first acquisition module 402 shown in above-mentioned device embodiment shown in fig. 6,
It may be embodied in the device embodiment of earlier figures 5, this disclosure be not limited.
In above-described embodiment, goal-selling is carried out by being taken in picture of finding a view before the posture feature of target
The detection of type, to determine whether the shot type in the picture of finding a view is goal-selling type, can to avoid get with
The unrelated posture feature information of goal-selling type, so as to reduce calculation amount.
Fig. 7 is referred to, Fig. 7 is another image capturing device block diagram of the disclosure according to an exemplary embodiment,
On the basis of aforementioned embodiment illustrated in fig. 4, the comparison module 403 can include the embodiment:Vector generation module 403A,
Vector calculation module 403B, vector query module 403C and weighted calculation module 304D；
Vector generation module 403A is configured as, be taken target and described image shooting in picture of finding a view described in generation
The feature vector of each single item posture feature of the target that is taken in template；
Vector calculation module 403B is configured as, calculate between the feature vector of each single item posture feature to span
From；
The vector query module 403C is configured as, and preset distance and similarity pair are inquired according to the vector distance
It should be related to, obtain the similarity of each single item posture feature；
The weighted calculation module 403D is configured as, according to the weight ratio of each single item posture feature to each single item posture
The similarity of feature is weighted, and obtains the posture similarity.
It should be noted that the structure of comparison module 403 shown in above-mentioned device embodiment shown in Fig. 7, it can also
Included in earlier figures 5 or the device embodiment of Fig. 6, this disclosure is not limited.
Fig. 8 is referred to, Fig. 8 is another image capturing device block diagram of the disclosure according to an exemplary embodiment,
On the basis of aforementioned embodiment illustrated in fig. 4, described image filming apparatus 400 further includes processing module 407 and folds the embodiment
Add module 408：
Processing module 407 is configured as, and contoured processing is carried out to described image shooting template；
Laminating module 408 is configured as, and the profile Overlapping display of treated described image shooting template is taken described
In scape picture.
It should be noted that the processing module 408 and laminating module 409 that are shown in above-mentioned device embodiment shown in Fig. 8
It can also be included in earlier figures 5 to device embodiment any Fig. 7, this disclosure is not limited.
In the above-described embodiments, contoured processing is carried out by the way that described image is shot template, and will that treated is described
The profile of image taking template is superimposed upon in picture of finding a view so that and user can be corrected the posture for the target that is taken, from
And improve shooting quality.
Fig. 9 is referred to, Fig. 9 is another image capturing device block diagram of the disclosure according to an exemplary embodiment,
On the basis of aforementioned embodiment illustrated in fig. 4, the taking module 404 includes the embodiment：
Reminding module 404A is configured as, and when the posture similarity reaches predetermined threshold value, prompting letter is exported to user
Breath；
First trigger module 404B is configured as, in the shooting instruction for receiving user and being inputted according to the prompt message
When, trigger shooting operation.
It should be noted that the reminding module 404A and trigger module that are shown in above-mentioned device embodiment shown in Fig. 9
404B can also be included in earlier figures 5 to device embodiment any Fig. 8, this disclosure is not limited.In above-mentioned reality
It applies in example, by the way that when the posture similarity reaches predetermined threshold value, prompt message is exported to user；And receiving user's root
According to the prompt message input shooting instruction when, trigger shooting operation, so as to provide a kind of new screening-mode, to adapt to
Different user demands can promote user experience.
Figure 10 is referred to, Figure 10 is another image capturing device frame of the disclosure according to an exemplary embodiment
Figure, on the basis of aforementioned embodiment illustrated in fig. 4, the taking module 404 includes the embodiment：
Second trigger module 404C is configured as, when the posture similarity reaches predetermined threshold value, automatic trigger shooting
Operation.
It should be noted that the second trigger module 404C shown in above-mentioned device embodiment shown in Fig. 10 can also be wrapped
It is contained in earlier figures 5 to device embodiment any Fig. 9, this disclosure is not limited.
In the above-described embodiments, by the way that when the posture similarity reaches predetermined threshold value, automatic trigger shooting operation carries
Supply a kind of new screening-mode, to adapt to different user demands, user experience can be promoted.
Figure 11 is referred to, Figure 11 is another image capturing device frame of the disclosure according to an exemplary embodiment
Figure, on the basis of aforementioned embodiment illustrated in fig. 4, described image filming apparatus 400 further includes at least one following the embodiment
Module：
First display module 409 is configured as, by multiple images shot by the shooting operation with image sequence or
The mode of short-sighted frequency is showed；
Second display module 410 is configured as, multiple images shot by the shooting operation are obtained the average image
After showed.
Wherein, the average image refers to, extracts the feature of a part of face respectively in the image of several Zhang Butong, then
Part face characteristic according to extracting respectively generates a new picture.
It should be noted that the first display module 409 and the second displaying mould are also shown in Figure 11 in order to which example facilitates
Block 410, device described in practical application can only include any of the above-described module；In addition, the device embodiment shown in above-mentioned Figure 11
In the first display module 409 for showing and the second display module 410 can also to be included in earlier figures 5 real to device any Figure 10
It applies in example, this disclosure is not limited.
In the above-described embodiments, on the one hand, image will have been shot in a manner of image sequence or short-sighted frequency into Mobile state exhibition
It is existing, good contrast effect can be reached；On the other hand, since face alignment can be more accurate, for self-timer scene
Under, multiple self-timer image makings can be showed into the gradual animation effect for deforming, converting successively；It can will also shoot
Into self-timer image issue other users, other users continuation is taken pictures according to same posture, and the average image is obtained after taking pictures in more people
It is propagated on similar to social network sites such as circle of friends afterwards, user experience can be promoted.
Correspondingly, the disclosure also provides a kind of image capturing device, described device include memory and one or
More than one program, either more than one program is stored in memory and is configured to by one or one for one of them
A Yi Shang processor performs the one or more programs and includes the instruction for being operated below：
Template is shot according to user instruction selected digital image；
It finds a view the posture feature of target of being taken in picture；
By the target that is taken in the posture feature for the target that is taken in the picture of finding a view and described image shooting template
Posture feature is compared, and obtains posture similarity；
When the posture similarity reaches threshold value, shooting operation is performed.
The function of each unit and the realization process of effect specifically refer to and step are corresponded in the above method in above device
Realization process, details are not described herein.
For device embodiment, since it corresponds essentially to embodiment of the method, so related part is referring to method reality
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separating component
The unit of explanation may or may not be physically separate, and the component shown as unit can be or can also
It is not physical unit, you can be located at a place or can also be distributed in multiple network element.It can be according to reality
It needs that some or all of module therein is selected to realize the purpose of disclosure scheme.Those of ordinary skill in the art are not paying
In the case of going out creative work, you can to understand and implement.
Figure 12 is the structure diagram according to a kind of image capturing device shown in an exemplary embodiment.
As shown in figure 12, a kind of image capturing device 1200 according to an exemplary embodiment, which can
To be mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices are good for
Body equipment, personal digital assistant etc..
With reference to Figure 12, device 1200 can include following one or more components：Processing component 1201, memory 1202,
Power supply module 1203, multimedia component 1204, audio component 1205, the interface 1206 of input/output (I/O), sensor module
1207 and communication component 1208.
The integrated operation of 1201 usual control device 1200 of processing component, such as with display, call, data communication,
Camera operation and record operate associated operation.Processing component 1201 can be performed including one or more processors 1209
Instruction, to perform all or part of the steps of the methods described above.In addition, processing component 1201 can include one or more moulds
Block, convenient for the interaction between processing component 1201 and other assemblies.For example, processing component 1201 can include multi-media module,
To facilitate the interaction between multimedia component 1204 and processing component 1201.
Memory 1202 is configured as storing various types of data to support the operation in device 1200.These data
Example is included for the instruction of any application program or method that is operated on device 1200, contact data, telephone book data,
Message, picture, video etc..Memory 1202 can by any kind of volatibility or non-volatile memory device or they
Combination is realized, such as static RAM (SRAM), electrically erasable programmable read-only memory (EEPROM), it is erasable can
Program read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash memory
Reservoir, disk or CD.
Power supply module 1203 provides electric power for the various assemblies of device 1200.Power supply module 1203 can include power management
System, one or more power supplys and other generate, manage and distribute electric power associated component with for device 1200.
Multimedia component 1204 is included in the screen of one output interface of offer between described device 1200 and user.
In some embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel,
Screen may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touch and passes
Sensor is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or slide dynamic
The boundary of work, but also detect duration and pressure associated with the touch or slide operation.In some embodiments, it is more
Media component 1204 includes a front camera and/or rear camera.When device 1200 is in operation mode, mould is such as shot
When formula or video mode, front camera and/or rear camera can receive external multi-medium data.Each preposition camera shooting
Head and rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 1205 is configured as output and/or input audio signal.For example, audio component 1205 includes a wheat
Gram wind (MIC), when device 1200 is in operation mode, during such as call model, logging mode and speech recognition mode, microphone quilt
It is configured to receive external audio signal.The received audio signal can be further stored in memory 1202 or via communication
Component 1208 is sent.In some embodiments, audio component 1205 further includes a loud speaker, for exports audio signal.
I/O interfaces 1202 provide interface, above-mentioned peripheral interface module between processing component 1201 and peripheral interface module
Can be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and
Locking press button.
Sensor module 1207 includes one or more sensors, and the state for providing various aspects for device 1200 is commented
Estimate.For example, sensor module 1207 can detect opening/closed state of device 1200, the relative positioning of component, such as institute
The display and keypad that component is device 1200 are stated, sensor module 1207 can be with detection device 1200 or device 1,200 1
The position change of a component, the existence or non-existence that user contacts with device 1200,1200 orientation of device or acceleration/deceleration and dress
Put 1200 temperature change.Sensor module 1207 can include proximity sensor, be configured in no any physics
It is detected the presence of nearby objects during contact.Sensor module 1207 can also include optical sensor, as CMOS or ccd image are sensed
Device, for being used in imaging applications.In some embodiments, which can also include acceleration sensing
Device, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 1208 is configured to facilitate the communication of wired or wireless way between device 1200 and other equipment.Dress
The wireless network based on communication standard, such as WiFi can be accessed by putting 1200,2G or 3G or combination thereof.It is exemplary at one
In embodiment, communication component 1208 receives broadcast singal or broadcast correlation from external broadcasting management system via broadcast channel
Information.In one exemplary embodiment, the communication component 1208 further includes near-field communication (NFC) module, to promote short distance
Communication.For example, radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band can be based in NFC module
(UWB) technology, bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 1200 can be by one or more application application-specific integrated circuit (ASIC), number
Signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for performing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as include the memory 1202 of instruction, above-metioned instruction can be performed to complete the above method by the processor 1209 of device 1200.Example
Such as, the non-transitorycomputer readable storage medium can be ROM, it is random access memory (RAM), CD-ROM, tape, soft
Disk and optical data storage devices etc..
Wherein, when the instruction in the storage medium is performed by the processor of mobile terminal so that mobile terminal can
A kind of image capturing method is performed, including：
Template is shot according to user instruction selected digital image；
It finds a view the posture feature of target of being taken in picture；
The corresponding posture that the posture feature of the target that is taken is shot to the target that is taken in template with described image is special
Sign is compared, and obtains posture similarity；
When the posture similarity reaches threshold value, shooting operation is performed.
Those skilled in the art will readily occur to the present invention its after considering specification and putting into practice invention disclosed herein
Its embodiment.This application is intended to cover the present invention any variations, uses, or adaptations, these modifications, purposes or
Person's adaptive change follows the general principle of the present invention and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.Description and embodiments are considered only as illustratively, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be understood that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is only limited by appended claim.
Claims (11)
1. a kind of image capturing method, which is characterized in that including：
Template is shot according to user instruction selected digital image；
Contoured processing is carried out to described image shooting template；
By treated, described image shoots the profile Overlapping display of template in picture of finding a view；
It finds a view described in acquisition the posture feature of target of being taken in picture, the posture feature includes human face posture feature and human body
Posture feature；
The each single item appearance of be taken target and the target that is taken in described image shooting template found a view described in generation in picture
The feature vector of state feature；
Calculate the vector distance between the feature vector of each single item posture feature；
Preset distance and similarity correspondence are inquired according to the vector distance, obtain the phase of each single item posture feature
Like degree；
The similarity of each single item posture feature is weighted according to the weight ratio of each single item posture feature, obtains posture
Similarity；
When the posture similarity reaches threshold value, shooting operation is performed；
It will be showed in a manner of image sequence or short-sighted frequency multiple images that the shooting operation is shot；Or it will pass through
Multiple images of the shooting operation shooting are showed after the average image is obtained.
2. the method as described in claim 1, which is characterized in that before the shooting template according to user instruction selected digital image,
It further includes：
Preserve the image taking template of user's loading；
Obtain the posture feature for the target that is taken in described image shooting template.
3. the method as described in claim 1, which is characterized in that the posture feature for the target that is taken in the picture of finding a view
Including：
Whether the target that is taken found a view described in detection in picture is goal-selling type；
When detecting the target that is taken in the picture of finding a view as goal-selling type, the appearance for the target that is taken described in acquisition
State feature.
4. the method as described in claim 1, which is characterized in that it is described when the posture similarity reaches threshold value, perform bat
Operation is taken the photograph to include：
When the posture similarity reaches predetermined threshold value, prompt message is exported to user；
When receiving the shooting instruction that user inputs according to the prompt message, shooting operation is triggered.
5. the method as described in claim 1, which is characterized in that it is described when the posture similarity reaches threshold value, perform bat
Operation is taken the photograph to include：
When the posture similarity reaches predetermined threshold value, automatic trigger shooting operation.
6. a kind of image capturing device, which is characterized in that including：
Chosen module, for shooting template according to user instruction selected digital image；
Processing module, for carrying out contoured processing to described image shooting template；
Laminating module, for described image to shoot the profile Overlapping display of template in picture of finding a view by treated；
First acquisition module, for obtaining the posture feature for the target that is taken in the picture of finding a view, the posture feature includes
Human face posture feature and human body attitude feature；
Comparison module, for generating the mesh that is taken being taken in target and described image shooting template in the picture of finding a view
The feature vector of target each single item posture feature；Calculate the vector distance between the feature vector of each single item posture feature；
Preset distance and similarity correspondence are inquired according to the vector distance, obtain the similar of each single item posture feature
Degree；The similarity of each single item posture feature is weighted according to the weight ratio of each single item posture feature, obtains posture
Similarity；
Taking module, for when the posture similarity reaches threshold value, performing shooting operation；
First display module, for will be multiple images that the shooting operation is shot in a manner of image sequence or short-sighted frequency
Showed；Alternatively, the second display module, after multiple images shot by the shooting operation are obtained the average image
Showed.
7. device as claimed in claim 6, which is characterized in that described device further includes：
Preserving module, for preserving the image taking template of user's loading；
Second acquisition module, for obtaining the posture feature for the target that is taken in described image shooting template.
8. device as claimed in claim 6, which is characterized in that first acquisition module includes：
Whether module of target detection is goal-selling type for detecting the target that is taken in the picture of finding a view；
Posture acquisition module, for when the target that is taken in detecting the picture of finding a view is goal-selling type, obtaining
The posture feature of the target that is taken.
9. device as claimed in claim 6, which is characterized in that the taking module includes：
Reminding module, for when the posture similarity reaches predetermined threshold value, prompt message to be exported to user；
First trigger module, for when receiving the shooting instruction that user inputs according to the prompt message, triggering shooting to be grasped
Make.
10. device as claimed in claim 6, which is characterized in that the taking module includes:
Second trigger module, for when the posture similarity reaches predetermined threshold value, automatic trigger shooting operation.
11. a kind of image capturing device, which is characterized in that including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Template is shot according to user instruction selected digital image；
Contoured processing is carried out to described image shooting template；
By treated, described image shoots the profile Overlapping display of template in picture of finding a view；
It finds a view described in acquisition the posture feature of target of being taken in picture, the posture feature includes human face posture feature and human body
Posture feature；
The each single item appearance of be taken target and the target that is taken in described image shooting template found a view described in generation in picture
The feature vector of state feature；
Calculate the vector distance between the feature vector of each single item posture feature；
Preset distance and similarity correspondence are inquired according to the vector distance, obtain the phase of each single item posture feature
Like degree；
The similarity of each single item posture feature is weighted according to the weight ratio of each single item posture feature, obtains posture
Similarity；
When the posture similarity reaches threshold value, shooting operation is performed；
It will be showed in a manner of image sequence or short-sighted frequency multiple images that the shooting operation is shot；Or it will pass through
Multiple images of the shooting operation shooting are showed after the average image is obtained.
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