CN106503262B - Social face memory recognition method and device - Google Patents
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- 210000000887 face Anatomy 0.000 description 4
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
Abstract
The invention relates to a social face memory recognition method and a device, wherein the method comprises the following steps: collecting a face image of a target to be detected; matching the face image with each face template image in a preset information base, wherein the preset information base comprises a plurality of face template images, each face template image is provided with an information label associated with the face template image, and the information label at least comprises at least one of the name and the identity of a person in the face template image, and the time, the place and the affair of the person who has seen the face with a user before; and when the face image is successfully matched with a certain face template image in a preset information base, acquiring an information label associated with the certain face template image, and outputting first prompt information according to the information label. According to the social face memory recognition method and device provided by the embodiment of the invention, various information and the like of people meeting the user at present can be reminded, so that the user can conveniently and smoothly communicate and realize barrier-free social contact.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a social face memory recognition method and device.
Background
The social intercourse between people is the consciousness that people transmit information and exchange ideas in a certain mode (tool) to achieve various social activities with a certain purpose. In the modern times, changes in economic and social environments make interpersonal communication more important.
However, in the social process, some people may meet different matters with a plurality of different people at different places every day, and due to the fact that the number of people meeting the matters in a short time is large, the people who have seen the matters often have no deep impression, and the names of the people are forgotten, even the scenes, matters and the like of the people who have seen the matters, and when the people meet the matters again, if the names of the other people cannot be remembered, even the basic information which has seen the matters last time, the people appear not to be respected by the other people in the social process, and feel embarrassed, and therefore, the social process is affected.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. Therefore, the invention aims to provide a social face memory recognition method capable of reminding a user in a social process.
Another objective of the present invention is to provide a social face memory recognition device.
In order to achieve the above object, a social face memory recognition method according to an embodiment of the first aspect of the present invention includes:
collecting a face image of a target to be detected;
matching the face image with each face template image in a preset information base, wherein the preset information base comprises a plurality of face template images, each face template image is provided with an information label associated with the face template image, and the information label at least comprises at least one of the name and the identity of a person in the face template image, and the time, the place and the affair of the person who has seen the face with a user before;
and when the face image is successfully matched with a certain face template image in a preset information base, acquiring an information label associated with the certain face template image, and outputting first prompt information according to the information label.
On the other hand, according to a second aspect of the present invention, there is provided a social face memory recognition apparatus, including:
the acquisition unit is used for acquiring a face image of a target to be detected;
the identification unit is used for matching the face image with each face template image in a preset information base, the preset information base comprises a plurality of face template images, each face template image is provided with an information label related to the face template image, and the information label at least comprises at least one of the name and the identity of a person in the face template image, and the time, the place and the affair of the person who has seen the face with a user before the name and the identity;
and the reminding unit is used for acquiring an information label associated with a certain face template image when the face image is successfully matched with the certain face template image in a preset information base, and outputting first reminding information according to the information label.
According to the social face memory recognition method and device provided by the embodiment of the invention, in the social process, the face image of the target to be detected can be collected and then matched with each face template image in the preset information base, when the face image is successfully matched with a certain face template image in the preset information base, the information label associated with the certain face template image is obtained, and the first prompt information is output according to the information label, so that various information of people meeting the user at present can be reminded, the user can conveniently and smoothly communicate and exchange, and barrier-free social contact is realized.
Drawings
FIG. 1 is a flow chart of a social face memory recognition method according to an embodiment of the invention;
FIG. 2 is a flow chart of a social face memory recognition method according to another embodiment of the present invention;
FIG. 3 is a flowchart of step S102 in the social face memory identification method according to an embodiment of the present invention;
FIG. 4 is a flow chart of a social face memory recognition method according to another embodiment of the present invention;
FIG. 5 is a flow chart of a social face memory recognition method according to another embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a social face memory recognition device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a recognition unit in the social face memory recognition device according to the embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
Referring to fig. 1, fig. 1 illustrates an implementation flow of a social face memory recognition method provided by an embodiment of the present invention, and for convenience of description, only a part related to the embodiment of the present invention is illustrated. Specifically, the social face memory recognition method comprises the following steps:
s101, collecting a face image of a target to be detected.
Specifically, when a user meets with a meeter, the user can collect the face image of the meeter through a camera and other devices carried by the user, and the meeter is the target to be detected. It can be understood that, in a specific application, the social face memory identification method can be implemented by a wearable device, the wearable device can be worn on a user, and a camera can be used as a part of the wearable device, so that a face image of a meeter can be conveniently shot when the user meets the meeter.
In the step, a face detection and positioning technology can be adopted, the collected images or photos containing the faces are ensured, and the regions irrelevant to the head portrait of the faces in the original images or photos are removed, so that the confusion of the regions irrelevant to the face images in the image data or photos on the face recognition is avoided, and the accuracy, the speed and the success rate of the face recognition are improved.
S102, matching the face image with each face template image in a preset information base, wherein the preset information base comprises a plurality of face template images, each face template image is provided with an information label related to the face template image, and the information label at least comprises at least one of the name of a person in the face template image, and the time, the place and the affair of the person having seen the face of the user before.
Specifically, the user acquires a face image of a meeting person through a camera or the like when the user first meets the face, edits and labels the face image to form a face template image, for example, marks names of people in the face template image, time, places, matters of the first meeting, associates the names, the time, the places, the matters of the first meeting with the face image, and further forms an information label associated with the face template image. And when the face is seen again, the face image of the meeter is collected through the camera, and the face image of the meeter is automatically matched and identified with the face template image in the preset information base.
S103, when the face image is successfully matched with a certain face template image in a preset information base, an information label associated with the certain face template image is obtained, and first prompt information is output according to the information label. The first prompt information includes at least one of the name of the person in the face template image, the time, the place, and the affair that the person has seen the face with the user before.
In other words, if the currently acquired face image can be successfully matched with one face template image in the preset information base, the information tag associated with the successfully matched face template image is called, and first prompt information is output according to the information tag, for example, "the opposite side is XX (name and/or identity), the last meeting time is XX, and the place is XX", so that the user can know various related information of the current meeter, and can timely recall social scenes, matters and the like before the current meeter according to the related information.
It is understood that the first prompt message may be a voice prompt message, a question prompt message, or the like.
According to the social face memory recognition method provided by the embodiment of the invention, in the social process, a face image of a target to be detected is collected, the face image is matched with each face template image in the preset information base, when the face image is successfully matched with a certain face template image in the preset information base, an information tag associated with the certain face template image is obtained, and first prompt information is output according to the information tag, so that various information of people meeting the user at present can be reminded, the user can conveniently and smoothly communicate and exchange, and barrier-free social contact is realized.
Referring to fig. 2, in an embodiment of the present invention, the social face memory recognition method may further include:
and S104, outputting second prompt information when the matching between the face image and a certain face template image in a preset information base fails, wherein the second prompt information is used for reminding people in the face image of being new faces.
That is, if the matching between the currently acquired face image and one face template image in the preset information base fails, it indicates that the current meeter is the initial meeting or has no record, and then second prompt information is output, for example, "sorry, no relevant information of the other party", so that the user can know that the current meeter is a new face, and therefore, the user can conveniently determine a correct social mode, for example, inquiring the name of the other party, and the like.
Referring to fig. 3, in an embodiment of the present invention, step S102 may include:
s1021, extracting the characteristics of key points from the collected face image, and generating the characteristics of the face image according to the characteristics of the key points.
The key points in the face image are determined, for example, the key points around the eyes, nose, mouth, etc. of the face image, the features of the key points are extracted by detecting the key points in the face image, the feature of each key point can be represented by a feature vector, and the features of a plurality of key points are connected in series, that is, the features of the face image can be obtained by connecting a plurality of feature vectors in series.
S1022, extracting the features of the target key points corresponding to the key points from the face template image, and generating the features of each face template image according to the features of the target key points.
That is, corresponding positions, that is, target key points, are found in the face template image according to the features of each key point, for example, the key points in the face image are eyes, a nose, a mouth, and the like, the positions of the eyes, the nose, the mouth, and the like are correspondingly detected in the face template image, and then the features of the target key points are extracted. Correspondingly, the feature of each target key point can also be represented by a feature vector, and the features of a plurality of target key points are connected in series, that is, the features of the face template image can be obtained by connecting a plurality of feature vectors in series.
And S1023, comparing and identifying the characteristics of the face image and the characteristics of each face template image.
Specifically, the matching degree between the face image and the face template image can be calculated by calculating the vector distance between the feature vector of the face image and the feature vector of the face template image according to the vector distance; and finally, determining whether the matching is successful according to the matching degree, for example, when the matching degree is greater than a set value, determining that the face image is the same as the person in the face template image, and the matching is successful.
In the embodiment, the face image can be accurately identified by extracting the features of the key points in the face image and the target key points corresponding to the face template image, the problems of high identification error rate and the like caused by the fact that the number of the same face template is small are solved, and the identification efficiency and the accuracy are improved. In addition, the matching degree between the images is determined by adopting a vector distance mode between the characteristic vectors, so that the calculation speed can be increased, and the identification efficiency is further improved.
Referring to fig. 4, fig. 4 illustrates another implementation flow of a social face memory recognition method provided by an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown. Specifically, the social face memory recognition method comprises the following steps:
s201, collecting a face image of a target to be detected.
S202, matching the face image with each face template image in a preset information base, wherein the preset information base comprises a plurality of face template images, each face template image is provided with an information label related to the face template image, and the information label at least comprises at least one of the name of a person in the face template image, and the time, the place and the affair of the person having seen the face of the user before.
S203, when the face image is successfully matched with a certain face template image in a preset information base, acquiring an information label associated with the certain face template image, and outputting first prompt information according to the information label. The first prompt information includes at least one of the name of the person in the face template image, the time, the place, and the affair that the person has seen the face with the user before.
And S204, filing and storing the face images of the same person successfully matched to the same position according to the information label.
Because the face image of the meeter is collected every time the user meets the face, the identified face image of the same person can be stored in the same storage position in the step, and therefore the user can check and playback the person images meeting the same person at different time and different places in the later period, and the user can be helped to recall the related information of the meeter.
It should be noted that, in this embodiment, steps S201 to S203 are the same as those in the embodiment of fig. 1, and are not repeated herein.
Referring to fig. 5, in an embodiment of the present invention, the social face memory recognition method further includes:
and S205, updating the information label according to the latest face meeting and successfully matched face image.
Specifically, after the face images of the same person successfully matched are stored, the user may perform editing and sorting, for example, time, place, and matter of each meeting may be identified, and after the editing and sorting is completed, the time, place, and matter of the meeting identified by the face images may be updated in the information tag as the content of the information tag. Therefore, when the next meeting is carried out, after the acquired face image is successfully matched with the face template image, the content in the acquired information label contains the latest meeting time, place, affair and the like, so that when the first prompt information is sent, the latest meeting time, place, affair and the like can be prompted, and therefore, the user can remember the related information of the meeting face in time more conveniently, and a better prompt effect is achieved.
According to the social face memory recognition method provided by the embodiment of the invention, in the social process, a face image of a target to be detected is collected, the face image is matched with each face template image in the preset information base, when the face image is successfully matched with a certain face template image in the preset information base, an information tag associated with the certain face template image is obtained, and first prompt information is output according to the information tag, so that various information of people meeting the user at present can be reminded, the user can conveniently and smoothly communicate and exchange, and barrier-free social contact is realized.
Referring to fig. 6, fig. 6 illustrates a social face memory recognition device 300 according to an embodiment of the present invention, and for convenience of description, only the portions related to the embodiment of the present invention are shown. Specifically, the social face memory recognition device 300 provided in the embodiment of the present invention may be used to implement the social face memory recognition method in the foregoing embodiment, and includes:
the acquisition unit 301 is used for acquiring a face image of a target to be detected;
the recognition unit 302 is configured to match the face image with each face template image in a preset information base, where the preset information base includes a plurality of face template images, each face template image has an information tag associated therewith, and the information tag includes at least one of a name of a person in the face template image, a time, a place, and a matter that the person has seen the face with the user before;
and the reminding unit 303 is configured to, when the face image is successfully matched with a certain face template image in a preset information base, acquire an information tag associated with the certain face template image, and output first reminding information according to the information tag.
In an embodiment of the present invention, the reminding unit 303 is further configured to:
and outputting second prompt information when the matching between the face image and a certain face template image in a preset information base fails, wherein the second prompt information is used for reminding people in the face image of being new faces.
In one embodiment of the present invention, further comprising:
and the storage unit 304 is used for filing and storing the face images of the same person successfully matched to the same position according to the information label.
Referring to fig. 7, in an embodiment of the present invention, the identifying unit 302 may include:
a first feature extraction module 3021, configured to extract features of key points from the acquired face image, and generate features of the face image according to the features of the key points;
a second feature extraction module 3022, configured to extract features of target key points from the face template image, and generate features of each face template image according to the features of the target key points;
and the matching module 3033 is configured to compare and identify the features of the face image with the features of each face template image.
In one embodiment of the present invention, further comprising:
and an updating unit 305, configured to update the information label according to the face image meeting the latest face and matching successfully.
According to the social face memory recognition device 300 provided by the embodiment of the invention, in the social process, a face image of a target to be detected is acquired, the face image is matched with each face template image in the preset information base, when the face image is successfully matched with a certain face template image in the preset information base, an information tag associated with the certain face template image is acquired, and first prompt information is output according to the information tag, so that various information of people meeting the user at present can be reminded, the user can conveniently and smoothly communicate and exchange, and barrier-free social contact is realized.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device or system type embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. A social face memory recognition method is characterized by comprising the following steps:
adopting a face detection and positioning technology to collect a face image of a target to be detected;
matching the face image with each face template image in a preset information base, wherein the preset information base comprises a plurality of face template images, each face template image is provided with an information label associated with the face template image, and the information label at least comprises at least one of the name and the identity of a person in the face template image, and the time, the place and the affair of the person who has seen the face with a user before;
when the face image is successfully matched with a certain face template image in a preset information base, acquiring an information label associated with the certain face template image, and outputting first prompt information according to the information label so as to ensure that a user determines a correct meeting communication mode;
the face images of the same person successfully matched are filed and stored to the same position according to the information label so as to be checked by the user;
and outputting second prompt information when the matching between the face image and a certain face template image in a preset information base fails, wherein the second prompt information is used for reminding people in the face image of being new faces.
2. The method of claim 1, wherein the matching the face image with each face template image in a preset information base comprises:
extracting the characteristics of key points from the collected face image, and generating the characteristics of the face image according to the characteristics of the key points;
extracting the features of target key points corresponding to the key points from the face template images, and generating the features of each face template image according to the features of the target key points;
and comparing and identifying the characteristics of the face image with the characteristics of each face template image.
3. The social face memory recognition method of claim 2, further comprising:
and updating the information label according to the latest face meeting and successfully matched face image.
4. A social face memory recognition device, comprising:
the acquisition unit is used for acquiring a face image of a target to be detected by adopting a face detection and positioning technology;
the identification unit is used for matching the face image with each face template image in a preset information base, the preset information base comprises a plurality of face template images, each face template image is provided with an information label related to the face template image, and the information label at least comprises at least one of the name and the identity of a person in the face template image, and the time, the place and the affair of the person who has seen the face with a user before the name and the identity;
the reminding unit is used for acquiring an information label associated with a certain face template image when the face image is successfully matched with the certain face template image in a preset information base, and outputting first reminding information according to the information label;
the storage unit is used for filing and storing the face images of the same person successfully matched to the same position according to the information label;
the reminding unit is also used for:
and outputting second prompt information when the matching between the face image and a certain face template image in a preset information base fails, wherein the second prompt information is used for reminding people in the face image to be new faces so as to ensure that a user determines a correct meeting communication mode.
5. The social face memory recognition device of claim 4, wherein the recognition unit comprises:
the first feature extraction module is used for extracting features of key points from the acquired face image and generating the features of the face image according to the features of the key points;
the second feature extraction module is used for extracting the features of target key points corresponding to the key points from the face template images and generating the features of each face template image according to the features of the target key points;
and the matching module is used for comparing and identifying the characteristics of the face image and the characteristics of each face template image.
6. The social face memory recognition device of claim 5, further comprising:
and the updating unit is used for updating the information label according to the latest face meeting and successfully matched face image.
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Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107194817B (en) * | 2017-03-29 | 2023-06-23 | 腾讯科技（深圳）有限公司 | User social information display method and device and computer equipment |
| CN107291810B (en) * | 2017-05-18 | 2018-05-29 | 深圳云天励飞技术有限公司 | Data processing method, device and storage medium |
| CN107463891A (en) * | 2017-07-26 | 2017-12-12 | 珠海市魅族科技有限公司 | A kind of identity information acquisition methods, device, computer installation and computer-readable recording medium |
| CN109508523A (en) * | 2017-09-11 | 2019-03-22 | 金德奎 | A kind of social contact method based on recognition of face |
| CN107590141A (en) * | 2017-10-19 | 2018-01-16 | 崔玉桂 | A kind of user's meet prompt terminal and method |
| CN109873893B (en) * | 2018-12-29 | 2021-05-11 | 深圳云天励飞技术有限公司 | Information pushing method and related device |
| DE102019219563A1 (en) * | 2019-12-13 | 2021-06-17 | Sivantos Pte. Ltd. | Method for operating a hearing aid system and hearing aid system |
| CN111276238A (en) * | 2020-01-09 | 2020-06-12 | 钟梓函 | Device for assisting daily activities of Alzheimer's disease patients |
| CN111259799A (en) * | 2020-01-16 | 2020-06-09 | 广州市十牛信息科技有限公司 | Name list early warning system based on face recognition camera |
| CN112348689A (en) * | 2020-11-24 | 2021-02-09 | 深兰科技（上海）有限公司 | Face recognition method and system for social service |
| CN114612959A (en) * | 2022-01-28 | 2022-06-10 | 北京深睿博联科技有限责任公司 | Face recognition system and method for assisting blind person in interpersonal communication |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103870502A (en) * | 2012-12-17 | 2014-06-18 | 镇江京江软件园有限公司 | Enterprise mobile social network system based on face recognition |
| CN104375650A (en) * | 2014-12-02 | 2015-02-25 | 上海恩凡物联网科技有限公司 | Social contact identification method and system based on intelligent wearable device |
| CN105631272A (en) * | 2016-02-02 | 2016-06-01 | 云南大学 | Multi-safeguard identity authentication method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8341145B2 (en) * | 2010-12-20 | 2012-12-25 | Microsoft Corporation | Face recognition using social data |
-
2016
- 2016-11-22 CN CN201611048236.8A patent/CN106503262B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103870502A (en) * | 2012-12-17 | 2014-06-18 | 镇江京江软件园有限公司 | Enterprise mobile social network system based on face recognition |
| CN104375650A (en) * | 2014-12-02 | 2015-02-25 | 上海恩凡物联网科技有限公司 | Social contact identification method and system based on intelligent wearable device |
| CN105631272A (en) * | 2016-02-02 | 2016-06-01 | 云南大学 | Multi-safeguard identity authentication method |
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