CN109934082B - Grouping method and device based on head portrait recognition - Google Patents
Grouping method and device based on head portrait recognition Download PDFInfo
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Abstract
The invention discloses a grouping method based on avatar recognition, which is applied to an electronic display device, wherein the electronic display device comprises a first use form and a second use form, and the method comprises the following steps: judging whether the electronic display device is in a second use form; when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector; taking the image information as default head portrait information of the user; obtaining user ID information; acquiring historical image information according to the user ID information; acquiring an incidence relation between the users according to the historical image information; and grouping the users according to the incidence relation. Through identifying historical image information, the incidence relation between users is determined, the technical effects of accurately grouping the users and greatly improving the team cooperation capability are achieved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a grouping method and apparatus based on avatar recognition.
Background
Display devices, which may also be referred to as displays, or more generally as display screens, etc. A display device is a device that can output images or tactile information such as a braille display designed for the blind. If the input signal is an electronic signal, such a display device is called an electronic display device. Along with the continuous development of the artificial intelligence technology, the functions of the electronic display device are more powerful, and the design is more humanized.
However, in the process of implementing the technical solution in the embodiment of the present application, the inventor of the present application finds that the above prior art has at least the following technical problems:
the prior art can not judge the familiarity degree among users, thereby not reasonably grouping the users and reducing the technical problem of team cooperation capability.
Content of application
The embodiment of the application provides a grouping method and a grouping device based on avatar identification, and aims to solve the technical problems that users cannot be reasonably grouped and team cooperation capability is reduced due to the fact that familiarity among the users cannot be judged in the prior art. Through identifying historical image information, the incidence relation between users is determined, the technical effects of accurately grouping the users and greatly improving the team cooperation capability are achieved.
In order to solve the above problem, in a first aspect, an embodiment of the present application provides a head portrait recognition-based grouping method, which is applied to an electronic display device having an image collector, where the electronic display device includes a first use configuration and a second use configuration, where the first use configuration is that the electronic display device stands on a use desktop, and an included angle between a display surface of the electronic display device and the use desktop is an obtuse angle; the second use form is that the electronic display device lies on the use desktop, and the display surface of the electronic display device is parallel to the use desktop, and the method comprises the following steps: judging whether the electronic display device is in a second use form; when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector; taking the image information as default head portrait information of the user; obtaining user ID information; acquiring historical image information according to the user ID information; acquiring an incidence relation between the users according to the historical image information; and grouping the users according to the incidence relation.
Preferably, the obtaining of the historical image information according to the user ID information includes: acquiring a photo library of the user according to the user ID information; according to the photo library, acquiring a character feature set in the photo library; obtaining first human feature information of the default avatar information; obtaining second person characteristic information from the person characteristic set, wherein the second person characteristic information is the same as the first person characteristic information; and obtaining the historical image information according to the second person characteristic information.
Preferably, the obtaining the association relationship between the users according to the historical image information includes: judging whether the historical image information belongs to group photo or not according to the historical image information; if the historical image information belongs to group photo, obtaining third person characteristic information in the group photo; judging whether the third person characteristic information exists in default avatar information of the user or not according to the third person characteristic information; and if the third person characteristic information exists in the default avatar information of the users, determining that the users with the third person characteristic information have an association relation with the users with the second person characteristic information.
Preferably, the grouping the users according to the association relationship includes: obtaining the frequency of the incidence relation in the historical image information according to the incidence relation; obtaining the incidence relation with the highest frequency according to the frequency appearing in the historical image information; and according to the association relationship with the highest frequency, dividing the users with the association relationship with the highest frequency into a group.
Preferably, the grouping the users according to the association relationship includes: obtaining the required number of people in each group; and grouping the users according to the frequency of the incidence relation and the number of the people required by each group.
In a second aspect, an embodiment of the present application further provides a grouping device based on avatar recognition, which is applied to an electronic display device, and the electronic display device has an image collector and a distance sensor, and is characterized in that the electronic display device includes a first usage form and a second usage form, where the first usage form is that the electronic display device stands on a usage desktop, and an included angle between a display surface of the electronic display device and the usage desktop is an obtuse angle; the second use form is that the electronic display device lies on the use desktop, and the display surface of the electronic display device is parallel to the use desktop, the apparatus includes:
the first judging unit is used for judging whether the electronic display equipment is in a second use state or not;
the first obtaining unit is used for obtaining image information of a user according to the image collector when the electronic display device is in the second using state;
a first as unit for taking the image information as default avatar information of the user;
a second obtaining unit configured to obtain user ID information;
a third obtaining unit configured to obtain history image information according to the user ID information;
a fourth obtaining unit, configured to obtain an association relationship between the users according to the historical image information;
and the first grouping unit is used for grouping the users according to the incidence relation.
Preferably, the third obtaining unit includes:
a fifth obtaining unit, configured to obtain a photo library of the user according to the user ID information;
a sixth obtaining unit, configured to obtain a character feature set in the photo library according to the photo library;
a seventh obtaining unit configured to obtain first human feature information of the default avatar information;
an eighth obtaining unit, configured to obtain second personal feature information from the personal feature set, where the second personal feature information is the same as the first personal feature information;
a ninth obtaining unit configured to obtain the history image information according to the second personal feature information.
Preferably, the fourth obtaining unit includes:
a second judging unit, configured to judge whether the historical image information belongs to a group photo according to the historical image information;
a tenth obtaining unit, configured to obtain third person feature information in a group photo if the history image information belongs to the group photo;
a third judging unit, configured to judge whether third person feature information exists in default avatar information of the user according to the third person feature information;
a first determination unit configured to determine that the user having the third personal characteristic information has an association relationship with the user having the second personal characteristic information if the third personal characteristic information exists in default avatar information among the users.
Preferably, the first grouping unit includes:
an eleventh obtaining unit configured to obtain, according to the association relationship, a frequency of occurrence of the association relationship in the history image information;
a twelfth obtaining unit, configured to obtain, according to a frequency appearing in the history image information, an association relationship with a highest frequency;
and the second grouping unit is used for grouping the users with the highest association relationship into a group according to the highest association relationship.
Preferably, the first grouping unit includes:
a thirteenth obtaining unit for obtaining the required number of persons per group;
and the third grouping unit is used for grouping the users according to the frequency of the incidence relation and the required number of people of each group.
In a third aspect, an embodiment of the present application further provides a grouping device based on avatar recognition, which is applied to an electronic display device, and the electronic display device has an image collector and a distance sensor, and is characterized in that the electronic display device includes a first usage form and a second usage form, where the first usage form is that the electronic display device stands on a usage desktop, and an included angle between a display surface of the electronic display device and the usage desktop is an obtuse angle; the second use form is that the electronic display device lies on the use desktop, and the display surface of the electronic display device is parallel to the use desktop, and the electronic display device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, and the processor executes the program to realize the following steps:
judging whether the electronic display device is in a second use form;
when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector;
taking the image information as default head portrait information of the user;
obtaining user ID information;
acquiring historical image information according to the user ID information;
acquiring an incidence relation between the users according to the historical image information;
and grouping the users according to the incidence relation.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and the program, when executed by a processor, implements the following steps:
judging whether the electronic display device is in a second use form;
when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector;
taking the image information as default head portrait information of the user;
obtaining user ID information;
acquiring historical image information according to the user ID information;
acquiring an incidence relation between the users according to the historical image information;
and grouping the users according to the incidence relation.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
the embodiment of the application provides a grouping method and a grouping device based on head portrait identification, which are applied to an electronic display device, wherein the electronic display device is provided with an image collector, and is characterized in that the electronic display device comprises a first use form and a second use form, wherein the first use form is that the electronic display device stands on a use desktop, and an included angle between a display surface of the electronic display device and the use desktop is an obtuse angle; the second use form is that the electronic display device lies on the use desktop, and the display surface of the electronic display device is parallel to the use desktop, and the method comprises the following steps: judging whether the electronic display device is in a second use form; when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector; taking the image information as default head portrait information of the user; obtaining user ID information; acquiring historical image information according to the user ID information; acquiring an incidence relation between the users according to the historical image information; and grouping the users according to the incidence relation. The method is used for solving the technical problems that users cannot be reasonably grouped and the team cooperation capability is reduced because the familiarity degree among the users cannot be judged in the prior art. Through identifying historical image information, the incidence relation between users is determined, the technical effects of accurately grouping the users and greatly improving the team cooperation capability are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a flowchart illustrating a grouping method based on avatar recognition according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a grouping apparatus based on avatar recognition according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another grouping device based on avatar recognition according to an embodiment of the present invention.
Description of reference numerals: a first judging unit 11, a first obtaining unit 12, a first acting unit 13, a second obtaining unit 14, a third obtaining unit 15, a fourth obtaining unit 16, a first grouping unit 17, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the application provides a grouping method and a grouping device based on avatar identification, which are used for solving the technical problems that users cannot be reasonably grouped and team cooperation capability is reduced because the familiarity between the users cannot be judged in the prior art.
In order to solve the technical problems, the technical scheme provided by the application has the following general idea: judging whether the electronic display device is in a second use form; when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector; taking the image information as default head portrait information of the user; obtaining user ID information; acquiring historical image information according to the user ID information; acquiring an incidence relation between the users according to the historical image information; and grouping the users according to the incidence relation. Through identifying historical image information, the incidence relation between users is determined, the technical effects of accurately grouping the users and greatly improving the team cooperation capability are achieved.
The technical solutions of the present application are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
Example one
Fig. 1 is a schematic flow diagram of a grouping method based on avatar recognition in an embodiment of the present invention, and as shown in fig. 1, the grouping method based on avatar recognition provided in an embodiment of the present invention is applied to an electronic display device, and the electronic display device has an image collector and a distance sensor, and is characterized in that the electronic display device includes a first usage form and a second usage form, where the first usage form is that the electronic display device stands on a usage desktop, and an included angle between a display surface of the electronic display device and the usage desktop is an obtuse angle; the second use form is that the electronic display device lies on the use desktop, and the display surface of the electronic display device is parallel to the use desktop, and the method comprises the following steps:
step 110: judging whether the electronic display device is in a second use form;
step 120: when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector;
step 130: taking the image information as default head portrait information of the user;
step 140: obtaining user ID information;
step 150: acquiring historical image information according to the user ID information;
step 160: acquiring an incidence relation between the users according to the historical image information;
step 170: and grouping the users according to the incidence relation.
Specifically, the method for identifying the head portrait based on the user ID is applied to an electronic display device, wherein the electronic display device is provided with an image collector, and the image collector is used for collecting the head portrait of the user using the electronic display device. The electronic display device comprises a first use form and a second use form, wherein the first use form is that the electronic display device stands on a use desktop, an included angle between a display surface of the electronic display device and the use desktop is an obtuse angle, the first use form is suitable for the situation that the number of users is small, one user is suitable, two to three users can use the electronic display device, when one user uses the electronic display device, the electronic display device can be obliquely stood on the use desktop, and under the condition that the display surface of the electronic display device and the use desktop form a certain angle, the user can more comfortably watch the electronic display device, and the eye fatigue is effectively relieved; the second use form does electronic display device lie in use on the desktop, just electronic display device's display surface is on a parallel with use the desktop, wherein, the second use form is applicable to the more condition of user's number, for example many people meeting, many people recreation etc. when more number the user is in use under the first use form during electronic display device, because it is a plurality of the user encloses simultaneously before electronic display device for be located edge or distance are far away the user sees clearly content on the electronic display device, and then make the meeting inefficiency, the experience when the user plays the recreation is greatly discounted. Therefore, an embodiment of the present application provides a display method for automatic identification of the electronic display device in the second usage form, where the method includes: firstly, whether the electronic display device is in a second use form needs to be judged, when the electronic display device is in the second use form, image information of the user is collected through the image collector, wherein the image information is face information of the user shot by the image collector, and then the image information is used as default head portrait information of the user. When a plurality of users use the electronic display device at the same time, the default avatar information of the users can enable other users to distinguish which default avatar information belongs to which user on the electronic display device, and the function of distinguishing the users is also achieved. If the user logs on a first control, wherein the first control can be APP such as WeChat, QQ, a landlord multiplayer game and the like, since the first control has a certain storage space after the user logs in ID information, wherein, the storage space can be a cloud space or a local space, the user can request to access the storage space and read the historical image information uploaded to the storage space, wherein the historical image information can be a single photo of the user or a group photo of the user and other people, the character features in the historical image information are extracted by utilizing a character feature recognition technology, and matching and identifying the character features in the default head portrait information to obtain the association relation among the users, and finally grouping the users according to the association relation. Through head portrait recognition, the association degree between the users is determined, accurate grouping of the users is further achieved, and the technical effect of team cooperation is improved.
Further, the obtaining of the historical image information according to the user ID information includes: acquiring a photo library of the user according to the user ID information; according to the photo library, acquiring a character feature set in the photo library; obtaining first human feature information of the default avatar information; obtaining second person characteristic information from the person characteristic set, wherein the second person characteristic information is the same as the first person characteristic information; and obtaining the historical image information according to the second person characteristic information.
Specifically, after the user ID information is acquired, a storage access request may be issued to the storage space, and if the storage access authority is allowed, the storage data in the storage space may be accessed, so as to obtain the photo library of the user. According to the obtained photo library, a person feature recognition technology is used for obtaining a person feature set in the photo library, wherein the person feature recognition technology is called face recognition, or called face recognition, and is a biological recognition technology for carrying out identity recognition based on face feature information of a person, a camera or a camera is used for collecting images or video streams containing faces, the faces are automatically detected and tracked in the images, a series of related technologies of the faces are further carried out on the detected faces, the related technologies comprise face image collection, face positioning, face recognition preprocessing, memory storage and comparison recognition, the purpose of recognizing different person identities is achieved, then first person feature information of the default head portrait information is obtained through the person feature recognition technology, namely local components of eyes, a nose, a mouth, a chin and the like of the person in the default head portrait information are extracted, and the geometric features of the parts and the structural relationship between the parts are taken as the first person feature information, then whether person feature information which is the same as the first person feature information exists in the person feature set is judged, namely whether a user with the first person feature information exists is searched and searched in the person feature set, if the person feature information which is the same as the first person feature information exists in the person feature set, second person feature information is extracted from the person feature set, wherein the second person feature information which is the same as the first person feature information is matched with the second person feature information which is the same as the first person feature information in the person feature set, namely, the user which is the same as the person in the default head portrait information is obtained in the photo library, and finally, according to the second person characteristic information, obtaining a photo of the same user as the person in the default head portrait information from the photo library, and using the photo as the historical image information of the user, wherein the historical image information can be a single photo of the user or a group photo of the user and other people. The technical effect of acquiring the historical image information of the user is further achieved.
Further, the obtaining of the association relationship between the users according to the historical image information includes: judging whether the historical image information belongs to group photo or not according to the historical image information; if the historical image information belongs to group photo, obtaining third person characteristic information in the group photo; judging whether the third person characteristic information exists in default avatar information of the user or not according to the third person characteristic information; and if the third person characteristic information exists in the default avatar information of the users, determining that the users with the third person characteristic information have an association relation with the users with the second person characteristic information.
Specifically, after the history image information is obtained, it is first determined whether the history image information is a group photo, that is, whether the history image information includes a person other than the user himself/herself, and if the history image information is a group photo, third personal feature information in the history image information is extracted by a personal feature recognition technique, and then it is recognized whether the third personal feature information is present in default avatar information of the user based on the third personal feature information, and if the third personal feature information is present in default avatar information of the user, it can be determined that the user having the third personal feature information has an association with the user having second personal feature information, that is, the user having the third personal feature information and the user having the second personal feature information may be friends, or the like, Classmates, colleagues or relatives, etc., at least the classmates, the colleagues or relatives, etc. are known and have certain emotional bases, and the classmates are harmonious and are more beneficial to group cooperation. The technical effect of obtaining the association degree between the users is further achieved.
Further, the grouping the users according to the association relationship includes: obtaining the frequency of the incidence relation in the historical image information according to the incidence relation; obtaining the incidence relation with the highest frequency according to the frequency appearing in the historical image information; and according to the association relationship with the highest frequency, dividing the users with the association relationship with the highest frequency into a group.
Further, the grouping the users according to the association relationship includes: obtaining the required number of people in each group; and grouping the users according to the frequency of the incidence relation and the number of the people required by each group.
Specifically, according to the association relationship obtained from the historical image information, the frequency of the association relationship appearing in the historical image information is statistically analyzed, so that the association relationship with the highest frequency is obtained, and finally, the users with the association relationship with the highest frequency are grouped into one group, namely, the more times the user with the third character feature information and the user with the second character feature information group are combined, the higher the association degree of the users is, the more familiar the users are, the more tacit the cooperation of the users is in the game process, the stronger the team cooperation ability is, and the higher the winning probability is. Since the number of people required for each group is not necessarily two, but may be three or more in the multiplayer game, the number of people required for each group is also obtained, and the users are grouped according to the frequency of occurrence of the association relationship and the number of people required for each group. For example, if the number of people required for each group is 3, and the highest frequency association relationship has two users, i.e., the user having the third person characteristic information and the user having the second person characteristic information, the user having the third person characteristic information is extracted, step 160 is repeated to determine that the user having the fourth person characteristic information and the user having the second person characteristic information have an association relationship, and the frequency of the association relationship is highest, then the user having the fourth person characteristic information, the user having the third person characteristic information and the user having the second person characteristic information are grouped into one group, if the number of people required for each group is 4, step 160 is also repeated to determine the user having the fourth person characteristic information and the user having the fifth person characteristic information, and finally the user having the fifth person characteristic information is divided into two groups, The user having the fourth personal characteristic information, the user having the third personal characteristic information, and the user having the second personal characteristic information are grouped into one group. Through the incidence relation among the users, the technical effects of accurately grouping the users and greatly improving the team cooperation capability are further achieved.
Example two
Based on the same inventive concept as the head portrait recognition-based grouping method in the foregoing embodiment, the present invention further provides a head portrait recognition-based grouping apparatus, which is applied to an electronic display device, and the electronic display device has an image collector and a distance sensor, and is characterized in that the electronic display device includes a first usage form and a second usage form, wherein the first usage form is that the electronic display device stands on a usage desktop, and an included angle between a display surface of the electronic display device and the usage desktop is an obtuse angle; the second usage form is that the electronic display device lies on the usage desktop, and the display surface of the electronic display device is parallel to the usage desktop, as shown in fig. 2, the apparatus includes:
a first judging unit 11, wherein the first judging unit 11 is used for judging whether the electronic display device is in a second use mode;
a first obtaining unit 12, where the first obtaining unit 12 is configured to obtain image information of a user according to the image collector when the electronic display device is in the second usage form;
a first acting unit 13, the first acting unit 13 being configured to act as default avatar information of the user for the image information;
a second obtaining unit 14, the second obtaining unit 14 being configured to obtain user ID information;
a third obtaining unit 15, the third obtaining unit 15 being configured to obtain history image information according to the user ID information;
a fourth obtaining unit 16, where the fourth obtaining unit 16 is configured to obtain an association relationship between the users according to the historical image information;
a first grouping unit 17, where the first grouping unit 17 is configured to group the users according to the association relationship.
Preferably, the third obtaining unit 15 includes:
a fifth obtaining unit, configured to obtain a photo library of the user according to the user ID information;
a sixth obtaining unit, configured to obtain a character feature set in the photo library according to the photo library;
a seventh obtaining unit configured to obtain first human feature information of the default avatar information;
an eighth obtaining unit, configured to obtain second personal feature information from the personal feature set, where the second personal feature information is the same as the first personal feature information;
a ninth obtaining unit configured to obtain the history image information according to the second personal feature information.
Preferably, the fourth obtaining unit 16 includes:
a second judging unit, configured to judge whether the historical image information belongs to a group photo according to the historical image information;
a tenth obtaining unit, configured to obtain third person feature information in a group photo if the history image information belongs to the group photo;
a third judging unit, configured to judge whether third person feature information exists in default avatar information of the user according to the third person feature information;
a first determination unit configured to determine that the user having the third personal characteristic information has an association relationship with the user having the second personal characteristic information if the third personal characteristic information exists in default avatar information among the users.
Preferably, the first grouping unit 17 includes:
an eleventh obtaining unit configured to obtain, according to the association relationship, a frequency of occurrence of the association relationship in the history image information;
a twelfth obtaining unit, configured to obtain, according to a frequency appearing in the history image information, an association relationship with a highest frequency;
and the second grouping unit is used for grouping the users with the highest association relationship into a group according to the highest association relationship.
Preferably, the first grouping unit 17 includes:
a thirteenth obtaining unit for obtaining the required number of persons per group;
and the third grouping unit is used for grouping the users according to the frequency of the incidence relation and the required number of people of each group.
Various changes and specific examples of a grouping method based on avatar recognition in the first embodiment of fig. 1 are also applicable to a grouping apparatus based on avatar recognition in the present embodiment, and through the foregoing detailed description of a grouping method based on avatar recognition, those skilled in the art can clearly know the implementation method of a grouping apparatus based on avatar recognition in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.
EXAMPLE III
Based on the same inventive concept as one of the avatar recognition-based grouping methods in the foregoing embodiments, the present invention further provides an avatar recognition-based grouping apparatus having a computer program stored thereon, which when executed by a processor implements the steps of any one of the methods of the avatar recognition-based grouping methods described above.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
Example four
Based on the same inventive concept as the avatar recognition-based grouping method in the foregoing embodiments, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of:
judging whether the electronic display device is in a second use form; when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector; taking the image information as default head portrait information of the user; obtaining user ID information; acquiring historical image information according to the user ID information; acquiring an incidence relation between the users according to the historical image information; and grouping the users according to the incidence relation.
In a specific implementation, when the program is executed by a processor, any method step in the first embodiment may be further implemented.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
the embodiment of the application provides a grouping method and a grouping device based on head portrait identification, which are applied to an electronic display device, wherein the electronic display device is provided with an image collector, and is characterized in that the electronic display device comprises a first use form and a second use form, wherein the first use form is that the electronic display device stands on a use desktop, and an included angle between a display surface of the electronic display device and the use desktop is an obtuse angle; the second use form is that the electronic display device lies on the use desktop, and the display surface of the electronic display device is parallel to the use desktop, and the method comprises the following steps: judging whether the electronic display device is in a second use form; when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector; taking the image information as default head portrait information of the user; obtaining user ID information; acquiring historical image information according to the user ID information; acquiring an incidence relation between the users according to the historical image information; and grouping the users according to the incidence relation. The method is used for solving the technical problems that users cannot be reasonably grouped and the team cooperation capability is reduced because the familiarity degree among the users cannot be judged in the prior art. Through identifying historical image information, the incidence relation between users is determined, the technical effects of accurately grouping the users and greatly improving the team cooperation capability are achieved.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the embodiments of the present invention without departing from the spirit or scope of the embodiments of the invention. Thus, if such modifications and variations of the embodiments of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to encompass such modifications and variations.
Claims (8)
1. A grouping method based on head portrait recognition is applied to an electronic display device, the electronic display device is provided with an image collector, and the grouping method is characterized in that the electronic display device comprises a first use form and a second use form, wherein the first use form is that the electronic display device stands on a use desktop, and an included angle between a display surface of the electronic display device and the use desktop is an obtuse angle; the second use form is that the electronic display device lies on the use desktop, and the display surface of the electronic display device is parallel to the use desktop, and the method comprises the following steps:
judging whether the electronic display device is in a second use form;
when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector;
taking the image information as default head portrait information of the user;
obtaining user ID information;
acquiring historical image information according to the user ID information;
acquiring an incidence relation between the users according to the historical image information;
and grouping the users according to the incidence relation.
2. The method of claim 1, wherein the obtaining historical image information based on the user ID information comprises:
acquiring a photo library of the user according to the user ID information;
according to the photo library, acquiring a character feature set in the photo library;
obtaining first human feature information of the default avatar information;
obtaining second person characteristic information from the person characteristic set, wherein the second person characteristic information is the same as the first person characteristic information;
and obtaining the historical image information according to the second person characteristic information.
3. The method of claim 1, wherein obtaining the association between the users according to the historical image information comprises:
judging whether the historical image information belongs to group photo or not according to the historical image information;
if the historical image information belongs to group photo, obtaining third person characteristic information in the group photo;
judging whether the third person characteristic information exists in default avatar information of the user or not according to the third person characteristic information;
and if the third person characteristic information exists in the default avatar information of the users, determining that the users with the third person characteristic information have an association relation with the users with the second person characteristic information.
4. The method of claim 1, wherein said grouping the users according to the association comprises:
obtaining the frequency of the incidence relation in the historical image information according to the incidence relation;
obtaining the incidence relation with the highest frequency according to the frequency appearing in the historical image information;
and according to the association relationship with the highest frequency, dividing the users with the association relationship with the highest frequency into a group.
5. The method of claim 4, wherein said grouping the users according to the association comprises:
obtaining the required number of people in each group;
and grouping the users according to the frequency of the incidence relation and the number of the people required by each group.
6. A grouping device based on head portrait recognition is applied to an electronic display device, and the electronic display device is provided with an image collector and a distance sensor, and is characterized in that the electronic display device comprises a first use form and a second use form, wherein the first use form is that the electronic display device stands on a use desktop, and an included angle between a display surface of the electronic display device and the use desktop is an obtuse angle; the second use form is that the electronic display device lies on the use desktop, and the display surface of the electronic display device is parallel to the use desktop, and the device is characterized by comprising:
the first judging unit is used for judging whether the electronic display equipment is in a second use state or not;
the first obtaining unit is used for obtaining image information of a user according to the image collector when the electronic display device is in the second using state;
a first as unit for taking the image information as default avatar information of the user;
a second obtaining unit configured to obtain user ID information;
a third obtaining unit configured to obtain history image information according to the user ID information;
a fourth obtaining unit, configured to obtain an association relationship between the users according to the historical image information;
and the first grouping unit is used for grouping the users according to the incidence relation.
7. A grouping device based on head portrait recognition is applied to an electronic display device, and the electronic display device is provided with an image collector and a distance sensor, and is characterized in that the electronic display device comprises a first use form and a second use form, wherein the first use form is that the electronic display device stands on a use desktop, and an included angle between a display surface of the electronic display device and the use desktop is an obtuse angle; the second usage form is that the electronic display device lies on the usage desktop, and the display surface of the electronic display device is parallel to the usage desktop, and the electronic display device comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the following steps when executing the program:
judging whether the electronic display device is in a second use form;
when the electronic display equipment is in the second use state, obtaining image information of a user according to the image collector;
taking the image information as default head portrait information of the user;
obtaining user ID information;
acquiring historical image information according to the user ID information;
acquiring an incidence relation between the users according to the historical image information;
and grouping the users according to the incidence relation.
8. A computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, carries out the steps of:
judging whether the electronic display equipment is in a second use state, wherein the second use state is that the electronic display equipment is laid on the use desktop horizontally, and the display surface of the electronic display equipment is parallel to the use desktop;
when the electronic display equipment is in the second use state, obtaining image information of a user according to an image collector;
taking the image information as default head portrait information of the user;
obtaining user ID information;
acquiring historical image information according to the user ID information;
acquiring an incidence relation between the users according to the historical image information;
and grouping the users according to the incidence relation.
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