CN111444979A - Face-lifting scheme recommendation method, cloud device and storage medium - Google Patents
Face-lifting scheme recommendation method, cloud device and storage medium Download PDFInfo
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Abstract
The invention discloses a face-lifting scheme recommendation method, cloud equipment and a storage medium, wherein the face-lifting scheme recommendation method acquires corresponding face data through key preset points on a face model and carries out face-lifting scheme recommendation according to the face data.
Description
Technical Field
The invention relates to the technical field of face-lifting, in particular to a face-lifting scheme recommendation method, cloud equipment and a storage medium.
Background
With the development of face-lifting technology, more and more users select face-lifting, but many users are not clear what face-lifting scheme they are suitable for, and need to consult with professional face-lifting organization to obtain face-lifting advice, but this way of requiring visiting organization to obtain face-lifting scheme is troublesome and time-consuming.
Thus, there is still a need for improvement and development of the prior art.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method for recommending a cosmetic scheme, a cloud device and a storage medium, aiming at solving the problem that a user cannot conveniently obtain a cosmetic scheme in the prior art.
The technical scheme adopted by the invention for solving the technical problem is as follows:
in a first aspect of the present invention, a method for recommending a cosmetic scheme is provided, where the method for recommending a cosmetic scheme includes:
acquiring a face image of a user, and acquiring a face model of the user according to the face image;
acquiring each preset point on the face model, and acquiring face data corresponding to the face model according to each preset point;
and recommending a face-lifting scheme according to the face data.
The method for recommending a cosmetic scheme, wherein the acquiring the facial image of the user comprises:
and acquiring the front face image, the left face image and the right face image of the user through a preset camera.
The face-lift scheme recommendation method, wherein the face model is a three-dimensional model, and the obtaining the face model of the user according to the face image includes:
and generating the face model according to the front face image, the left face image and the right face image.
The face-lift plan recommendation method comprises the following steps that the preset points comprise facial feature preset points and facial form preset points, the facial data comprise facial feature data and facial form data, and the obtaining of the facial data corresponding to the facial model according to the preset points comprises the following steps:
acquiring facial features data corresponding to the facial model according to the distance and position proportion between preset points of each facial feature;
and acquiring face shape data corresponding to the face model according to the distance and the position proportion between the preset points of each face shape.
The method for recommending a face-lift scheme, wherein the recommending a face-lift scheme according to the face data comprises:
matching the face data with preset data to obtain at least one target preset data;
respectively acquiring each face-lifting scheme corresponding to each target preset data according to each target preset data;
and respectively acquiring the recommendation sequence of each face-lifting scheme, arranging the face-lifting schemes according to the recommendation sequence, and displaying the arranged face-lifting schemes.
The method for recommending a cosmetic scheme, wherein the recommending a cosmetic scheme according to the facial data further comprises:
acquiring preset faces corresponding to the face-lifting schemes respectively;
and correspondingly displaying the preset human face according to each face-lifting scheme.
The method for recommending a cosmetic proposal, wherein the displaying the arranged cosmetic proposals comprises the following steps:
and sending the arranged face-lifting schemes to a terminal, and displaying the face-lifting schemes through the terminal.
The cosmetic scheme recommendation method further comprises the following steps:
acquiring skin information of the user according to the face image;
and recommending facial products according to the skin information.
In a second aspect of the present invention, a cloud device is provided, including: a processor, a storage medium communicatively coupled to the processor, wherein the storage medium is adapted to store a plurality of instructions; the processor is adapted to invoke instructions in the storage medium to perform the steps of implementing the face-lift scenario recommendation method of any of the above.
In a third aspect of the present invention, there is provided a storage medium in which one or more programs are stored, the one or more programs being executable by one or more processors to implement the steps of the method of face-lift scheme recommendation as described in any one of the above.
The invention has the beneficial effects that: according to the face-lifting scheme recommendation method, the image of the user is acquired, the face model of the user is acquired according to the image of the user, the corresponding face data is acquired through the key preset points on the face model, and the face-lifting scheme recommendation is carried out according to the face data.
Drawings
FIG. 1 is a flow chart of an embodiment of a method for face-lift scenario recommendation provided by the present invention;
FIG. 2 is a flow chart of the sub-steps of an embodiment of a method for recommending a cosmetic solution according to the present invention;
FIG. 3 is a flow chart of sub-steps in an embodiment of a method for recommending a cosmetic solution according to the present invention;
fig. 4 is a schematic structural diagram of a cloud device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example one
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for recommending a cosmetic solution according to an embodiment of the present invention.
Specifically, the method for recommending a cosmetic scheme provided by the present invention may be applied to a terminal, or may be applied to a cloud device.
As can be seen from fig. 1, in this embodiment, the method for recommending a cosmetic scheme includes the steps of:
s100, acquiring a face image of a user, and acquiring a face model of the user according to the face image.
In order to improve the accuracy of the recommendation of the face-lift scheme, in this embodiment, facial images of a user from multiple angles are obtained, and the facial images may be uploaded by the user selecting an existing photo by himself or may be obtained by shooting when the user needs to obtain the recommendation of the face-lift scheme. The acquiring of the face image of the user comprises:
and S110, acquiring the front face image, the left face image and the right face image of the user through a preset camera.
The preset camera can be arranged on a terminal, for example, a mobile terminal used by a user, a special terminal used for face-lifting scheme recommendation, and the like, when the face-lifting scheme recommendation method is applied to the terminal, the terminal can directly call the camera arranged on the terminal to acquire the face image, in this embodiment, the face image is received by the cloud terminal device from the terminal, namely, the terminal acquires the front face image, the left face image and the right face image of the user through the preset camera and then transmits the front face image, the left face image and the right face image to the cloud terminal device.
Specifically, the camera can be a camera, and the user acquires through rotating oneself health or rotation the terminal the positive face image left side face image with right side face image, the camera can be a plurality of cameras, a plurality of cameras can the annular distribution, once only acquire positive face image left side face image with right side face image, the user need not carry out the rotation at self or terminal, the camera can also include the 3d camera, and the depth of field is obtained when shooing to the 3d camera, is convenient for acquire user's the specific profile of face.
In this embodiment, the face model is a three-dimensional model, and the obtaining the face model of the user according to the face image includes:
and S120, generating the face model according to the front face image, the left face image and the right face image.
In another possible implementation manner, the step of generating the face model according to the front face image, the left face image, and the right face image may also be executed by a terminal, and since the step of generating the face model needs to consume a large amount of computing resources, and compared with a cloud device, the terminal is more susceptible to malicious attacks, therefore, in this embodiment, the step of generating the face model is executed by the cloud device, which can improve data security, improve computing efficiency, and reduce cost.
Referring again to fig. 1, the method for recommending a cosmetic scheme further includes:
s200, obtaining each preset point on the face model, and obtaining face data corresponding to the face model according to each preset key point.
Specifically, the preset points include facial preset points and facial preset points, the facial preset points are points reflecting facial features of the facial model, such as eye corner points, eye contour points, eyelid fold points, nose tip points, nose contour points and the like, and the facial preset points are points reflecting facial features of the facial model, such as cheekbone points, temple points, facial contour points and the like. The face data includes facial feature data and facial shape data, and as shown in fig. 2, the obtaining of the face data corresponding to the face model according to the preset points includes:
s210, acquiring facial feature data corresponding to the facial model according to the distance and position proportion between preset points of each facial feature;
and S220, acquiring face shape data corresponding to the face model according to the distance and the position proportion between the face shape preset points.
Specifically, after the preset points of the five sense organs are obtained, the distance and the position proportion between the preset points of the five sense organs can be obtained, the data of the five sense organs can have a corresponding format, and the distance and the position proportion between the preset points of the five sense organs are stored according to the preset format, so that the information of the five sense organs contained in the face model can be digitized to generate the data of the five sense organs. For example, the distance between the eye-corner points, the distance between the eye-end points, and the ratio of the distance between the eye-corner points and the distance between the eye-end points are obtained, and these values are saved as the data of the five sense organs.
Similarly, after the face type preset points are obtained, the distance and the position proportion between the face type preset points can be obtained, the face type data can have a corresponding format, and the distance and the position proportion between the facial feature preset points are respectively obtained according to the preset format and are stored, so that the face type information contained in the face model can be digitized to generate the face type data. For example, the distance between the chin point and the forehead apex, the distance between the chin point and the zygomatic bone point, and the distance between the two zygomatic bone points, and the ratio of these distances are acquired, and these values are stored as the face shape data.
In a possible implementation manner, the obtaining of the face data corresponding to the face model according to the preset points may be performed by a terminal, but as described above, based on the consideration of limited computing resources and low security of the terminal, in this embodiment, the step of obtaining the face data corresponding to the face model according to the preset points is set to be performed by a cloud device, so that data security and computing efficiency can be improved.
After the face data is acquired, the method for recommending the face-lifting scheme further comprises the following steps:
and S300, recommending a face-lifting scheme according to the face data.
Specifically, as shown in fig. 3, the performing of the face-lift plan recommendation according to the face data includes:
s310, matching the face data with preset data to obtain at least one target preset data.
Specifically, the preset data is face data that is set and stored in advance, and the preset data may be face data of a target person that is taken in advance, and the target person may be a successful person for face-lifting or a star, a model, or the like. The format of the preset data is consistent with that of the face data, so that comparison and matching are facilitated. When the face data is matched with the preset data, the face data may be matched with the preset data according to the similarity between the face data and the preset data, and target preset data with the similarity between the face data and the preset data within a preset range is selected, for example, the preset data with the similarity of more than 80% is selected as the target preset data.
And S320, respectively acquiring each face-lifting scheme corresponding to each target preset data according to each target preset data.
After target preset data is acquired, acquiring a difference between the target preset data and the face data, and generating a face-lifting scheme corresponding to the target preset data according to the difference, specifically, the face-lifting scheme may include at least one face-lifting sub-scheme, and each face-lifting sub-scheme is a face-lifting item. The face data may be a face data, and the face data may be a face data. For example, the eye corner point distance in the target preset data is higher than the eye corner point distance in the face data, and the corresponding face-lift scheme is open eye corner and the like. And generating the corresponding face-lifting scheme for each target preset data.
In a possible implementation manner, the obtaining, according to each preset target data, each face-lifting scheme corresponding to each preset target data further includes:
and receiving a selection instruction of a user to screen the various face-lifting schemes.
Specifically, the user may have a face-lifting selection tendency of himself, for example, the user wants to keep certain facial parts of himself unchanged, or only wants to lift certain parts of himself, then the selection instruction may be issued, and after receiving the selection instruction, the cloud device may filter the face-lifting schemes according to the selection instruction, for example, remove the face-lifting schemes including face-lifting for the parts of the user that the user wants to keep.
S330, respectively obtaining the recommendation sequence of each face-lifting scheme, arranging each face-lifting scheme according to the recommendation sequence, and displaying each arranged face-lifting scheme.
The recommendation sequence of the face-lift scheme reflects the quality sequence of the face-lift scheme, and the recommendation sequence may be directly obtained according to the arrangement sequence of the similarity between the target preset data and the face data, that is, the arrangement sequence of the similarity between the target preset data and the face data from high to low is directly obtained as the recommendation sequence, and the recommendation sequence may be determined according to the number of the face-lift sub-schemes included in the face-lift scheme, or a budget corresponding to the face-lift sub-scheme is preset, and the recommendation sequence is determined according to the total budget corresponding to the face-lift scheme. In a possible implementation manner, the recommendation order may be obtained according to an input instruction of a user, specifically, the user may input an instruction of "price is from high to low", "items are from few to many", and the like, and the recommendation order is obtained according to a sorting rule corresponding to the instruction. In a possible implementation manner, the individual face-lift schemes may also be sorted according to the selection instruction, for example, the sorting of the face-lift schemes including face-lift for the portion that the user wishes to face-lift is promoted, so that the user can view the schemes more easily, and the like.
After the recommendation sequence of each face-lifting scheme is determined, arranging the face-lifting schemes according to the recommendation sequence, and displaying the arranged face-lifting schemes, wherein the displaying of the arranged face-lifting schemes comprises:
and sending the arranged face-lifting schemes to a terminal, and displaying the face-lifting schemes through the terminal.
In this embodiment, the step of obtaining the various face-lifting schemes is completed on a cloud device, and the cloud device obtains the various face-lifting schemes, arranges the various face-lifting schemes, and then sends the arranged face-lifting schemes to a terminal, so that a user can conveniently check the face-lifting schemes.
In a possible implementation manner, in order to enable a user to more intuitively see a face-lift effect corresponding to each of the face-lift schemes, the recommending a face-lift scheme according to the face data further includes:
s340, acquiring preset faces corresponding to the face-lifting schemes respectively;
and S350, correspondingly displaying the preset human face according to each face-lifting scheme.
Specifically, the preset face is a face image of a pre-collected target person, and it has been described above that each face-lifting scheme is obtained according to the preset data of each target, and the preset data of each target is obtained by collecting the face data of the target person in advance, that is, each face-lifting scheme corresponds to a preset face, after each face-lifting scheme is obtained, the preset face corresponding to each face-lifting scheme is obtained, and the preset face is displayed according to each face-lifting scheme, so that when a user views the face-lifting scheme, the user can see the preset face corresponding to the face-lifting scheme, and can have a more intuitive feeling on the face-lifting effect of the face-lifting scheme.
In this embodiment, the method for recommending a cosmetic scheme further includes:
s400, acquiring skin information of the user according to the face image;
and S500, recommending facial products according to the skin information.
Specifically, the skin information includes skin color information and skin condition information, and after the face image is acquired, the skin information may be acquired according to color data of the face image, and facial product recommendation may be performed according to the skin information. For example, if the whole face color of the user in the face image is yellow or black, the obtained skin color information is yellow or black, and a yellow-removing or whitening face product can be recommended; if the color of a local area of the face of the user in the face image is red or the color of the local area is dark yellow, the skin condition information can be acquired to be pockmarked, red blood streak or speckled, and then a face product with the functions of diminishing inflammation and removing acnes, red blood streak or freckles can be recommended.
In combination with all the embodiments, the face-lifting scheme recommendation method provided by the invention obtains the image of the user, obtains the face model of the user according to the image of the user, obtains the corresponding face data through the key preset points on the face model, and recommends the face-lifting scheme according to the face data.
It should be understood that, although the steps in the flowcharts shown in the figures of the present specification are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the flowchart may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those of ordinary skill in the art that all or a portion of the processes of the methods of the embodiments described above may be implemented by a computer program that may be stored on a non-volatile computer-readable storage medium, which when executed, may include the processes of the embodiments of the methods described above, wherein any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory.
Example two
Based on the above embodiment, the present invention further provides a cloud device, and a schematic block diagram of the cloud device may be as shown in fig. 4. The cloud device comprises a processor, a memory, a network interface, a display screen and a temperature sensor which are connected through a system bus. The processor of the cloud device is used for providing computing and control capability. The memory of the cloud device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the cloud device is used for being connected and communicated with an external terminal through a network. The computer program is executed by a processor to implement a method of cosmetic regimen recommendation. The display screen of the cloud equipment can be a liquid crystal display screen or an electronic ink display screen, and the temperature sensor of the cloud equipment is arranged inside the cloud equipment in advance and used for detecting the current operating temperature of the internal equipment.
Those skilled in the art will appreciate that the schematic block diagram shown in fig. 4 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the cloud device to which the solution of the present invention is applied, and a specific cloud device may include more or less components than those shown in the figure, or combine some components, or have a different arrangement of components.
In one embodiment, a cloud device is provided, which includes a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement at least the following steps:
acquiring a face image of a user, and acquiring a face model of the user according to the face image;
acquiring each preset point on the face model, and acquiring face data corresponding to the face model according to each preset point;
and recommending a face-lifting scheme according to the face data.
Wherein the acquiring the face image of the user comprises:
and acquiring the front face image, the left face image and the right face image of the user through a preset camera.
Wherein the face model is a three-dimensional model, and the obtaining the face model of the user according to the face image includes:
and generating the face model according to the front face image, the left face image and the right face image.
The preset points comprise facial feature preset points and facial form preset points, the facial data comprise facial feature data and facial form data, and the acquiring the facial data corresponding to the facial model according to the preset points comprises:
acquiring facial features data corresponding to the facial model according to the distance and position proportion between preset points of each facial feature;
and acquiring face shape data corresponding to the face model according to the distance and the position proportion between the preset points of each face shape.
Wherein the performing of a cosmetic regimen recommendation based on the facial data comprises:
matching the face data with preset data to obtain at least one target preset data;
respectively acquiring each face-lifting scheme corresponding to each target preset data according to each target preset data;
and respectively acquiring the recommendation sequence of each face-lifting scheme, arranging the face-lifting schemes according to the recommendation sequence, and displaying the arranged face-lifting schemes.
Wherein the performing of a cosmetic solution recommendation according to the facial data further comprises:
acquiring preset faces corresponding to the face-lifting schemes respectively;
and correspondingly displaying the preset human face according to each face-lifting scheme.
Wherein the each of the face-lift scenarios after the display arrangement comprises:
and sending the arranged face-lifting schemes to a terminal, and displaying the face-lifting schemes through the terminal.
Wherein the cosmetic scheme recommendation method further comprises:
acquiring skin information of the user according to the face image;
and recommending facial products according to the skin information.
EXAMPLE III
The present invention also provides a storage medium storing one or more programs executable by one or more processors to implement the steps of the cosmetic solution recommendation method as described in the above embodiments.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (10)
1. A method for recommending a cosmetic scheme, the method comprising:
acquiring a face image of a user, and acquiring a face model of the user according to the face image;
acquiring each preset point on the face model, and acquiring face data corresponding to the face model according to each preset point;
and recommending a face-lifting scheme according to the face data.
2. The method of claim 1, wherein the obtaining the facial image of the user comprises:
and acquiring the front face image, the left face image and the right face image of the user through a preset camera.
3. The method of claim 2, wherein the face model is a three-dimensional model, and the obtaining the face model of the user from the face image comprises:
and generating the face model according to the front face image, the left face image and the right face image.
4. The method for recommending a cosmetic regimen according to claim 1, wherein the preset points comprise facial feature preset points and facial form preset points, the facial data comprise facial feature data and facial form data, and the obtaining facial data corresponding to the facial model according to the preset points comprises:
acquiring facial features data corresponding to the facial model according to the distance and position proportion between preset points of each facial feature;
and acquiring face shape data corresponding to the face model according to the distance and the position proportion between the preset points of each face shape.
5. The method of claim 1, wherein the making of a cosmetic regimen recommendation based on the facial data comprises:
matching the face data with preset data to obtain at least one target preset data;
respectively acquiring each face-lifting scheme corresponding to each target preset data according to each target preset data;
and respectively acquiring the recommendation sequence of each face-lifting scheme, arranging the face-lifting schemes according to the recommendation sequence, and displaying the arranged face-lifting schemes.
6. The method of claim 5, wherein the making of a cosmetic regimen recommendation based on the facial data further comprises:
acquiring preset faces corresponding to the face-lifting schemes respectively;
and correspondingly displaying the preset human face according to each face-lifting scheme.
7. The method of claim 5, wherein the displaying the arranged individual cosmetic treatment plans comprises:
and sending the arranged face-lifting schemes to a terminal, and displaying the face-lifting schemes through the terminal.
8. The method of claim 1, further comprising:
acquiring skin information of the user according to the face image;
and recommending facial products according to the skin information.
9. A cloud device, comprising: a processor, a storage medium communicatively coupled to the processor, the storage medium adapted to store a plurality of instructions; the processor is adapted to invoke instructions in the storage medium to perform the steps of implementing the face-lift scenario recommendation method of any of claims 1-8 above.
10. A storage medium, characterized in that the storage medium stores one or more programs executable by one or more processors to implement the steps of the cosmetic solution recommendation method according to any one of claims 1-8.
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| CN115187659A (en) * | 2022-06-17 | 2022-10-14 | 上海麦色医疗科技有限公司 | Multi-angle 4D imaging analysis system based on machine vision |
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