CN105740426A - Human face recognition based picture sending method and apparatus - Google Patents
Human face recognition based picture sending method and apparatus Download PDFInfo
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- CN105740426A CN105740426A CN201610066603.0A CN201610066603A CN105740426A CN 105740426 A CN105740426 A CN 105740426A CN 201610066603 A CN201610066603 A CN 201610066603A CN 105740426 A CN105740426 A CN 105740426A
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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
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/176—Support for shared access to files; File sharing support
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- 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
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
Abstract
Embodiments of the present invention disclose a human face recognition based picture sending method. The method comprises: creating a user group, and acquiring a self-photographed document picture corresponding to a user identifier in the user group; acquiring a photographed picture, performing human face recognition on the photographed picture, and extracting human face feature information corresponding to each of at least one human face region contained in the photographed picture; searching the user group for a target user identifier corresponding to the self-photographed document picture and the extracted human face feature information; and sending the photographed picture to a terminal corresponding to the target user identifier obtained by searching. Moreover, the present invention correspondingly discloses a human face recognition based picture sending apparatus. The method and apparatus are capable of reducing the operation times required for picture sending, and improving convenience of picture sending.
Description
Technical field
The present invention relates to field of computer technology, particularly relate to a kind of photo sending method based on recognition of face and device.
Background technology
Along with the development of computer technology, the camera function of mobile phone has become the key factor that everybody considers in the process select mobile phone.Go on a tour, get together or other need record significant instant, user is likely to need the portable equipment that mobile phone etc. possesses camera function to record everybody group photo anywhere or anytime, for instance the good fortune of the whole family or many people group photo.In general, photo can be sent to other related personnel one by one by user after having taken pictures, for instance send the pictures to related personnel by channels such as bluetooth, file transmission, mailboxes.
But, in the process that conventional photo sends, user needs to be selected by photo and be sent to one by one the related personnel of this photo, such as, group photo personnel in photo in sending one by one, this is accomplished by user and sends the pictures to everybody in turn, it is necessary to user carries out repeatedly clicking or input operation；Further, in the process that above-mentioned photo sends, it is also possible to part group photo is sent out in leakage, or individual's group photo is sent to the people outside group photo, thus easily causing sharing of photo there is maloperation；In order to avoid this maloperation, user is accomplished by the photo shared and sending object being checked and screening, and further increases photo and shares the operation needing to carry out in process and the time of needs cost.
Need user to carry out click repeatedly or input operation it is to say, the photo of conventional art sends with sharing, and the maloperation that photo sends easily occurs, therefore there is the problem that the convenience of operation is not enough.
Summary of the invention
Based on this, the photo for solving conventional art sends and needs user to carry out click repeatedly or input operation with sharing, and the technical problem that the convenience of the operation therefore existed is not enough, spy provides a kind of photo sending method based on recognition of face.
A kind of photo sending method based on recognition of face, including:
Create groups of users, obtain the auto heterodyne archives picture that the ID in described groups of users is corresponding；
Acquisition is taken pictures picture, described picture of taking pictures is carried out recognition of face, each self-corresponding face characteristic information of at least one human face region comprised in picture of taking pictures described in extraction；
Described groups of users is inquired about targeted customer's mark that auto heterodyne archives picture is corresponding with the face characteristic information of described extraction；
Described picture of taking pictures is sent to the targeted customer that described inquiry obtains and identifies the terminal of correspondence.
Optionally, the described step inquiring about the auto heterodyne archives picture targeted customer mark corresponding with the face characteristic information of described extraction in described groups of users includes: traverse user group, the auto heterodyne archives picture of all users is carried out recognition of face, obtains each self-corresponding auto heterodyne face characteristic information of the human face region comprised in described auto heterodyne archives picture；Judging whether described auto heterodyne face characteristic information mates with the face characteristic information of described extraction, the ID if so, then obtaining the auto heterodyne archives picture corresponding with described auto heterodyne face characteristic information identifies as targeted customer.
Optionally, the step of described establishment groups of users includes: the proximal subscribers mark that detection geographical position is corresponding less than or equal to the terminal of distance threshold with local position distance, creates groups of users according to described proximal subscribers mark.
Optionally, also include after the step of the proximal subscribers mark that described detection geographical position is corresponding less than or equal to the terminal of distance threshold with local position distance: obtain the auto heterodyne archives picture preset, described default auto heterodyne archives picture is sent to the terminal that described proximal subscribers mark is corresponding.
Optionally, the described step that described picture of taking pictures is sent to the terminal that the targeted customer that described inquiry obtains identifies correspondence includes: to server upload described in take pictures picture and described targeted customer mark, described server described picture of taking pictures is mass-sended the terminal identifying correspondence to described targeted customer.
Optionally, described described picture of taking pictures is sent to the targeted customer that described inquiry obtains identify correspondence terminal step before also include: obtain the quantity of targeted customer's mark that described inquiry obtains, generation picture of taking pictures sends information, described in picture of taking pictures send information and include targeted customer's mark that described inquiry obtains and/or the quantity of targeted customer's mark that described inquiry obtains.
Additionally, the photo for solving conventional art sends and needs user to carry out click repeatedly or input operation with sharing, the technical problem that the convenience of the operation therefore existed is not enough, spy provides a kind of photo dispensing device based on recognition of face.
A kind of photo dispensing device based on recognition of face, including:
Group creating module, is used for creating groups of users, obtains the auto heterodyne archives picture that the ID in described groups of users is corresponding；
Face characteristic information extraction module, takes pictures picture for acquisition, described picture of taking pictures is carried out recognition of face, each self-corresponding face characteristic information of at least one human face region comprised in picture of taking pictures described in extraction；
User's enquiry module, the targeted customer mark corresponding with the face characteristic information of described extraction for inquiring about auto heterodyne archives picture in described groups of users；
Sending module, the targeted customer obtained for described picture of taking pictures is sent to described inquiry identifies the terminal of correspondence.
Optionally, described face characteristic information extraction module is additionally operable to: traverse user group, and the auto heterodyne archives picture of all users is carried out recognition of face, obtains each self-corresponding auto heterodyne face characteristic information of the human face region comprised in described auto heterodyne archives picture；Judging whether described auto heterodyne face characteristic information mates with the face characteristic information of described extraction, the ID if so, then obtaining the auto heterodyne archives picture corresponding with described auto heterodyne face characteristic information identifies as targeted customer.
Optionally, described group creating module is additionally operable to: the proximal subscribers mark that detection geographical position is corresponding less than or equal to the terminal of distance threshold with local position distance, creates groups of users according to described proximal subscribers mark.
Optionally, described device also includes auto heterodyne archives picture sending module, for obtaining default auto heterodyne archives picture, described default auto heterodyne archives picture is sent to the terminal that described proximal subscribers mark is corresponding.
Optionally, described sending module is additionally operable to: to server upload described in take pictures picture and described targeted customer mark, described server described picture of taking pictures mass-sended the terminal identifying correspondence to described targeted customer.
Optionally, described device also includes targeted customer's quantity reminding module, for obtaining the quantity of targeted customer's mark that described inquiry obtains, generation picture of taking pictures sends information, described in picture of taking pictures send information and include targeted customer's mark that described inquiry obtains and/or the quantity of targeted customer's mark that described inquiry obtains.
Implement the embodiment of the present invention, will have the advantages that
After have employed the above-mentioned photo sending method based on recognition of face and device; user is when sharing the photo of the personage such as the good fortune of the whole family or many people group photo shooting; people in photo can be identified one by one; and in the photo sharing group created, search the user corresponding with the human face region occurred in the photo that needs are shared, then directly photo is shared with the user found.That is, after photo sharing group has created, user has only to photo is sent to this photo sharing group, then system can identify certainly taking a picture of each user in groups of users automatically, the user corresponding with the human face region in the photo that needs are shared is searched according to certainly taking a picture, then automatically will certainly take a picture and be distributed to above-mentioned user, so that user need not be sent to relevant people one by one when share photos, the Auto-matching between photo and relevant people and automatic distributing can be realized by photo sharing group, decrease the number of operations needing to carry out in photo transmission process, improve the convenience that photo sends.Further, because above-mentioned transmission can will carry out Auto-matching automatically between the people occurred in photo and user, it is to avoid the mistake transmission that manual operation easily occurs, improve the accuracy of photo sending object.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Wherein:
Fig. 1 is the flow chart of a kind of photo sending method based on recognition of face in an embodiment；
Fig. 2 is that in an embodiment, many people take a group photo the schematic diagram of photo；
Fig. 3 is the schematic diagram of a kind of photo dispensing device based on recognition of face in an embodiment；
Fig. 4 is the structural representation of the computer equipment running the aforementioned photo sending method based on recognition of face in an embodiment.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
Photo for solving conventional art sends and needs user to carry out click repeatedly or input operation with sharing, the technical problem that the convenience of the operation therefore existed is not enough, in the present embodiment, spy provides a kind of photo sending method based on recognition of face, the realization of the method can be dependent on computer program, this computer program can run on the computer system based on von Neumann system, and this computer program can be sharing or router of photo or picture.This computer system can be run sharing or sending the terminal units such as the smart mobile phone of application program, camera, panel computer, PC of above-mentioned photo or picture.
Concrete, as it is shown in figure 1, the above-mentioned photo sending method based on recognition of face comprises the steps:
Step S102: create groups of users, obtain the auto heterodyne archives picture that the ID in described groups of users is corresponding.
Namely groups of users establishes the set of multiple users of specific contact, and user can send message or file by this groups of users to other users.Such as, user corresponding for good friend can be added to new groups of users and namely creates a groups of users by user, it is also possible to be add to go in new groups of users namely to create a groups of users by meeting pre-conditioned user by searching for.It should be noted that in the present embodiment, user creates a new groups of users, it is also possible to be new user added in the groups of users originally existed.
In the present embodiment, each user of groups of users, when creating, all needs to create the ID (IDentity) corresponding with user and auto heterodyne archives picture.The ID corresponding with user is this user and can be used to identify unique encodings or the account of user identity in the sharing and send of photo, and this coding or account are the ID of user.Auto heterodyne archives picture is ID certainly taking a picture of uploading onto the server when creating, or certainly take a picture for what user shared, other users can read this and certainly take a picture (such as when meeting certain condition, become good friend, or in same groups of users), by this from the recognition of face taken a picture and is extracted corresponding face characteristic information, it is used for comparing with other photos, differentiate whether personage corresponding to the human face region in other photos mates with this auto heterodyne archives picture, if so, then this photo contains this user.
It should be noted that, in the present embodiment, the establishment of groups of users can be based on the application that photo is shared, that is, each user creates a files on each of customers in advance in this application, this files on each of customers at least includes the ID corresponding with this user and auto heterodyne archives picture, other users with this user set up contact after (such as, after joining same groups of users), the files on each of customers of this user can be read, namely read ID and the auto heterodyne archives picture of this user.
After groups of users creates successfully, user obtains the auto heterodyne file photo of other users in same group, namely obtains the auto heterodyne archives picture that other ID in groups of users are corresponding.
Optionally, in the present embodiment, the step of above-mentioned establishment groups of users, particularly as follows: detect the proximal subscribers mark that geographical position is corresponding less than or equal to the terminal of distance threshold with local position distance, creates groups of users according to described proximal subscribers mark.
Positioned by bluetooth or GPS, the other-end around the position that terminal is presently in can be searched, the position that terminal is presently in is local position, the positional information of local position can pass through GPS or network or bluetooth obtains, and the distance that the distance between other-end and the current local position of terminal can be passed through to calculate between the positional information of two terminals obtains.
When user claps the group photo such as the good fortune of the whole family, movable group photo, group photo of going on a tour, less as the distance between multiple users of target person, or user flocks together and carries out photo when sharing after photograph taking is complete, distance between user and user also can be less, therefore one less distance threshold can be set, for instance 5 meters.In step s 102, in the establishment process of groups of users, user can pass through the position searching the terminal with user oneself terminal less than 5 meters, namely the geographical position distance with the local position terminal less than or equal to 5 meters is searched, ID corresponding to the terminal that finds is proximal subscribers mark, it is to say, the position of the terminal of the terminal of these proximal subscribers mark correspondence and user oneself is adjoining.It should be noted that distance threshold may be arranged as other arbitrary values, and, user can arrange the occurrence of this distance threshold when groups of users creates.
After finding proximal subscribers mark, the proximal subscribers mark according to finding creates groups of users, adds in same groups of users with the proximal subscribers mark found by the ID corresponding to terminal.
Further, in the present embodiment, also include after the step of the proximal subscribers mark that above-mentioned detection geographical position is corresponding less than or equal to the terminal of distance threshold with local position distance: obtain the auto heterodyne archives picture preset, described default auto heterodyne archives picture is sent to the terminal that described proximal subscribers mark is corresponding.
When the account creation corresponding with user, it is also desirable to upload and share Zi the server or will certainly take a picture of taking a picture, so that other users can also read the ID of this user and certainly take a picture after groups of users is set up.
After the group member of groups of users is determined, or at proximal subscribers identifier lookup to afterwards, obtaining the auto heterodyne archives picture preset, this auto heterodyne archives picture is user and uploads onto the server certainly taking a picture or certainly taking a picture as what auto heterodyne file photo carried out sharing as auto heterodyne archives picture.After the auto heterodyne archives picture of user gets, the terminal that other users of being sent to by this picture in groups of users are corresponding, the auto heterodyne archives picture being about to preset is sent to the terminal that proximal subscribers mark is corresponding.The terminal of proximal subscribers mark correspondence is after receiving this auto heterodyne file photo, it is possible to use this auto heterodyne file photo to carry out recognition of face and comparison in follow-up photo is shared, it is also possible to be known the participator of picture of taking pictures by this photo.
Step S104: obtain picture of taking pictures, described picture of taking pictures is carried out recognition of face, each self-corresponding face characteristic information of at least one human face region comprised in picture of taking pictures described in extraction.
Picture of taking pictures can be the photo got by the photographic head of terminal, it is also possible to for being stored in the photo in the memory area of terminal.User, in the application that the page shared by corresponding photo or photo is shared, have selected a photo and shares, then obtain this photo as picture of taking pictures.
In the present embodiment, picture of taking pictures is the photo having included at least personage's head portrait, say, that the target reference object that above-mentioned picture of taking pictures is is behaved, and namely contains one or more human face region.
Recognition of face is a kind of biological identification technology that the facial feature information based on people carries out identification, automatically detection face in needing the image being identified, then the human face region that the face detected is corresponding is carried out pretreatment, namely calibrate position and the size etc. of face in the picture, finally facial image is carried out feature extraction.The process that facial image carries out feature extraction is the process that face carries out feature modeling, and this modeling process can be based on the characterizing method of knowledge, it is also possible to be utilize the characterizing method learnt based on algebraic characteristic or statistics.
Concrete, in the present embodiment, it is possible to use existing face recognition algorithms, to taking pictures, image carries out recognition of face, finds out this at least one human face region taking pictures in picture, and extracts each self-corresponding face characteristic information of each human face region respectively.
Such as, as in figure 2 it is shown, Fig. 2 illustrates the schematic diagram of the group photo of people more than.Taking pictures in picture shown in Fig. 2, including 4 human face regions shown in numbering 1,2,3,4 in figure.This picture of taking pictures is carried out by step S104 the process of recognition of face will recognise that 4 human face regions, i.e. the region at numbering 1,2,3,4 place shown in Fig. 2.Then the face characteristic information that 4 human face regions shown in above-mentioned numbering 1,2,3,4 are corresponding is further obtained respectively.
Step S106: inquire about targeted customer's mark that auto heterodyne archives picture is corresponding with the face characteristic information of described extraction in described groups of users.
Including multiple user in the groups of users created, each has ID and auto heterodyne archives picture by correspondence per family.Auto heterodyne archives picture is corresponding with the face characteristic information extracted, and the human face region referred in auto heterodyne archives picture mates with in the face characteristic information extracted.In the present embodiment, human face region in above-mentioned auto heterodyne archives picture can set according to the accuracy of face recognition algorithms with the rule mated of the face characteristic information extracted, such as, could be arranged to: above-mentioned auto heterodyne archives picture is carried out recognition of face and obtains face characteristic information corresponding to the human face region in this auto heterodyne archives picture as auto heterodyne face characteristic information, carry out mating contrast with the face characteristic information extracted in picture of taking pictures by this auto heterodyne face characteristic information, and the similarity of the two has exceeded the matching threshold preset, the human face region then judged in above-mentioned auto heterodyne archives picture mates with the face characteristic information extracted；As this matching threshold is set to 90%.
Concrete, in one embodiment, step S106: inquire about the auto heterodyne archives picture targeted customer corresponding with the face characteristic information of described extraction in described groups of users and identify particularly as follows: traverse user group, the auto heterodyne archives picture of all users is carried out recognition of face, obtains each self-corresponding auto heterodyne face characteristic information of the human face region comprised in described auto heterodyne archives picture；Judging whether described auto heterodyne face characteristic information mates with the face characteristic information of described extraction, the ID if so, then obtaining the auto heterodyne archives picture corresponding with described auto heterodyne face characteristic information identifies as targeted customer.
The auto heterodyne archives picture of traverse user group, searches the auto heterodyne archives picture that auto heterodyne archives picture mates with one of multiple face characteristic information extracted, and the similarity namely searching auto heterodyne archives picture and face characteristic information exceedes the auto heterodyne archives picture of matching threshold.After finding, using the auto heterodyne archives picture that finds as target auto heterodyne archives picture, and according to the one-to-one relationship between auto heterodyne archives picture and ID, obtain the targeted customer mark corresponding with target auto heterodyne archives picture.
It should be noted that in the present embodiment, the target auto heterodyne archival image that finds, targeted customer's mark, take pictures in picture human face region between be one to one.Further, in the present embodiment, target auto heterodyne archives picture and targeted customer identify the user of correspondence and are and occur in the portrait taking pictures in user.But, because the recognition accuracy of photo and would be likely to occur part group photo personnel because terminal is not connected into the reasons such as network and is not added to the reasons such as groups of users, it is also possible to occur that the human face region taking pictures in picture does not find corresponding target auto heterodyne archives picture or targeted customer's mark.
Such as, as in figure 2 it is shown, in this step, it is necessary to search user corresponding to the auto heterodyne archives picture face characteristic information corresponding with the human face region that the numbering 1,2,3,4 shown in Fig. 2 identifies in groups of users and obtain the ID of this user.
As shown in table 1, what table 1 was shown is the groups of users that creates in step s 102 of user, this group includes 10 users, in this step, it is necessary to search, in groups of users list (in the list for the auto heterodyne archives picture of display user) as shown in table 1, the targeted customer's mark satisfied condition.
Concrete, traverse user is numbered the user of 1-10, obtain the auto heterodyne archives picture of user, and this auto heterodyne archives picture is carried out recognition of face, obtain the face characteristic information of human face region corresponding to this auto heterodyne archives picture, the face characteristic information of 4 human face regions extracted in this face characteristic information and step S104 being compared one by one, if the two is coupling, then the ID obtaining correspondence is that targeted customer identifies.That is, successively the auto heterodyne archives picture that ID is 10 users such as Target1, Target2 ..., Passerby4 is compared in Table 1, if the picture of taking pictures shown in Fig. 2 is ID is the group photo of user 4 people of Target1, Target3, Target4 and Target6, therefore in the present embodiment, the result of aspect ratio pair identifies for targeted customer for obtaining Target1, Target3, Target4, Target6 successively.
Table 1
| Customs Assigned Number | ID |
| 1 | Target1 |
| 2 | Target2 |
| 3 | Target3 |
| 4 | Passerby1 |
| 5 | Target4 |
| 6 | Passerby2 |
| 7 | Passerby3 |
| 8 | Target5 |
| 9 | Target6 |
| 10 | Passerby4 |
Step S108: described picture of taking pictures is sent to the targeted customer that described inquiry obtains and identifies the terminal of correspondence.
Search the targeted customer's mark obtained in step s 106 and be the ID that in picture of taking pictures, the portrait of appearance is corresponding, be also the object that picture of taking pictures needs to share or send.In this step, terminal picture of taking pictures is sent to targeted customer identify correspondence terminal namely complete sharing and sending of picture of taking pictures.It should be noted that, in the present embodiment, terminal can be that picture of taking pictures is transmitted directly to other-end, it is also possible to is uploaded onto the server by this picture of taking pictures, by server, picture of taking pictures being sent to object one by one that need to share, namely targeted customer identifies the terminal of correspondence.
Concrete, in an embodiment of this programme, described described picture of taking pictures is sent to the targeted customer that described inquiry obtains identify correspondence terminal step particularly as follows: to server upload described in take pictures picture and described targeted customer mark, described server described picture of taking pictures is mass-sended the terminal identifying correspondence to described targeted customer.
That is, user is sending the process of picture of taking pictures by terminal to other-end, it is not directly send file to other-end, but first this document is uploaded to and send with file or share corresponding server, and go up the transmission target of transmitting file at the same time, i.e. targeted customer's mark, is then mass-sended the terminal identifying correspondence to targeted customer by server by picture of taking pictures.Such as, this picture of taking pictures is uploaded to photo and shares the server that application is corresponding, by this server by this picture distribution of taking pictures to related personnel, be namely equivalent to server and automatically this picture of taking pictures be identified and carry out automatic distributing.
It should be noted that, user is when sending with share photos, target picture can only have one, multiple pictures can also be included, say, that user can pass through once-through operation, just multiple photos are sent respectively to other people in photo, further, each photo has all been simply sent to the people in photo, and other people can't receive this photo.
Optionally, in other embodiments, described described picture of taking pictures is sent to the targeted customer that described inquiry obtains identify correspondence terminal step before also include: obtain the quantity of targeted customer's mark that described inquiry obtains, generation picture of taking pictures sends information, described in picture of taking pictures send information and include targeted customer's mark that described inquiry obtains and/or the quantity of targeted customer's mark that described inquiry obtains.
That is, before picture of taking pictures sends, obtain the quantity searching targeted customer's mark and the correspondence obtained, the sending object of picture of namely taking pictures and the quantity of sending object, then generate, according to the quantity of the targeted customer's mark got, picture of taking pictures and send information.User can know the number of objects and/or concrete object that photo finally sends from this prompting message, for instance, user can pass through this prompting message and understand picture of taking pictures and whether there is leakage and send out or multiple phenomenon etc..
Further, before described picture of taking pictures be sent to the targeted customer that described inquiry obtains identifying the step of terminal of correspondence, obtain described inquiry obtain targeted customer mark quantity and generation take pictures picture send information step after, picture of taking pictures sends information by terminal display to user, and the transmission detecting user's input confirms instruction, confirm to perform after instruction step S108 in the transmission receiving user's input: described picture of taking pictures is sent to the targeted customer that described inquiry obtains and identifies the terminal of correspondence.It is to say, the transmission of photo needs user to carry out secondary-confirmation, it is ensured that the accuracy that photo sends, reduce the maloperation of user.
In addition, photo for solving conventional art sends and needs user to carry out click repeatedly or input operation with sharing, the technical problem that the convenience of the operation therefore existed is not enough, in the present embodiment, additionally provide a kind of photo dispensing device based on recognition of face, as it is shown on figure 3, this device includes group creating module 102, face characteristic information extraction module 104, user's enquiry module 106 and sending module 108, wherein:
Group creating module 102, is used for creating groups of users, obtains the auto heterodyne archives picture that the ID in described groups of users is corresponding；
Face characteristic information extraction module 104, takes pictures picture for acquisition, described picture of taking pictures is carried out recognition of face, each self-corresponding face characteristic information of at least one human face region comprised in picture of taking pictures described in extraction；
User's enquiry module 106, the targeted customer mark corresponding with the face characteristic information of described extraction for inquiring about auto heterodyne archives picture in described groups of users；
Sending module 108, the targeted customer obtained for described picture of taking pictures is sent to described inquiry identifies correspondence.
In one embodiment, face characteristic information extraction module 104 is additionally operable to: traverse user group, and the auto heterodyne archives picture of all users is carried out recognition of face, obtains each self-corresponding auto heterodyne face characteristic information of the human face region comprised in described auto heterodyne archives picture；Judging whether described auto heterodyne face characteristic information mates with the face characteristic information of described extraction, the ID if so, then obtaining the auto heterodyne archives picture corresponding with described auto heterodyne face characteristic information identifies as targeted customer.
In one embodiment, group creating module 102 is additionally operable to: the proximal subscribers mark that detection geographical position is corresponding less than or equal to the terminal of distance threshold with local position distance, creates groups of users according to described proximal subscribers mark.
In one embodiment, as shown in Figure 3, the above-mentioned photo dispensing device based on recognition of face also includes auto heterodyne archives picture sending module 110, for obtaining default auto heterodyne archives picture, described default auto heterodyne archives picture is sent to the terminal that described proximal subscribers mark is corresponding.
In one embodiment, sending module 108 is additionally operable to: to server upload described in take pictures picture and described targeted customer mark, described server described picture of taking pictures mass-sended the terminal identifying correspondence to described targeted customer.
In one embodiment, as shown in Figure 3, the above-mentioned photo dispensing device based on recognition of face also includes targeted customer's quantity reminding module 112, for obtaining the quantity of targeted customer's mark that described inquiry obtains, generation picture of taking pictures sends information, described in picture of taking pictures send information and include targeted customer's mark that described inquiry obtains and/or the quantity of targeted customer's mark that described inquiry obtains.
Implement the embodiment of the present invention, will have the advantages that
After have employed the above-mentioned photo sending method based on recognition of face and device; user is when sharing the photo of the personage such as the good fortune of the whole family or many people group photo shooting; people in photo can be identified one by one; and in the photo sharing group created, search the user corresponding with the human face region occurred in the photo that needs are shared, then directly photo is shared with the user found.That is, after photo sharing group has created, user has only to photo is sent to this photo sharing group, then system can identify certainly taking a picture of each user in groups of users automatically, search the user corresponding with the human face region in the photo that needs are shared according to certainly taking a picture, then automatically will certainly take a picture and be distributed to above-mentioned user.So that user need not be sent to relevant people one by one when share photos, the Auto-matching between photo and relevant people and automatic distributing can be realized by photo sharing group, decrease the number of operations needing to carry out in photo transmission process, improve the convenience that photo sends.Further, because above-mentioned transmission can will carry out Auto-matching automatically between the people occurred in photo and user, it is to avoid the mistake transmission that manual operation easily occurs, improve the accuracy of photo sending object.
In one embodiment, as shown in Figure 4, Fig. 4 illustrates the terminal 10 of a kind of computer system based on von Neumann system running the above-mentioned photo sending method based on recognition of face.This computer system can be smart mobile phone, panel computer, palm PC, the terminal unit such as notebook computer or PC.Concrete, it may include by outer input interface 1001, processor 1002, memorizer 1003 and output interface 1004 that system bus connects.Wherein, outer input interface 1001 optionally can at least include network interface 10012.Memorizer 1003 can include external memory 10032 (such as hard disk, CD or floppy disk etc.) and built-in storage 10034.Output interface 1004 can at least include display screen 10042 equipment such as grade.
In the present embodiment, the operation of this method is based on computer program, the program file of this computer program is stored in aforementioned based in the external memory 10032 of the computer system 10 of von Neumann system, operationally it is loaded in built-in storage 10034, then it is transferred in processor 1002 after being compiled as machine code and performs, so that based on the group creating module 102 formed in the computer system 10 of von Neumann system in logic, face characteristic information extraction module 104, user's enquiry module 106, sending module 108, auto heterodyne archives picture sending module 110 and targeted customer's quantity reminding module 112.And above-mentioned based in the photo sending method execution process of recognition of face, the parameter of input receives each through outer input interface 1001, and it is transferred to buffer memory in memorizer 1003, it is then input in processor 1002 process, the result data or be cached in memorizer 1003 processed subsequently processes, or is passed to output interface 1004 and exports.
One of ordinary skill in the art will appreciate that all or part of flow process realizing in above-described embodiment method, can be by the hardware that computer program carrys out instruction relevant to complete, described program can be stored in a computer read/write memory medium, this program is upon execution, it may include such as the flow process of the embodiment of above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-OnlyMemory, ROM) or random store-memory body (RandomAccessMemory, RAM) etc..
Above disclosed it is only present pre-ferred embodiments, certainly can not limit the interest field of the present invention, the equivalent variations therefore made according to the claims in the present invention with this, still belong to the scope that the present invention contains.
Claims (12)
1. the photo sending method based on recognition of face, it is characterised in that including:
Create groups of users, obtain the auto heterodyne archives picture that the ID in described groups of users is corresponding；
Acquisition is taken pictures picture, described picture of taking pictures is carried out recognition of face, each self-corresponding face characteristic information of at least one human face region comprised in picture of taking pictures described in extraction；
Described groups of users is inquired about targeted customer's mark that auto heterodyne archives picture is corresponding with the face characteristic information of described extraction；
Described picture of taking pictures is sent to the targeted customer that described inquiry obtains and identifies the terminal of correspondence.
2. the photo sending method based on recognition of face according to claim 1, it is characterised in that the described step inquiring about the auto heterodyne archives picture targeted customer mark corresponding with the face characteristic information of described extraction in described groups of users includes:
Traverse user group, carries out recognition of face to the auto heterodyne archives picture of all users, obtains each self-corresponding auto heterodyne face characteristic information of the human face region comprised in described auto heterodyne archives picture；
Judging whether described auto heterodyne face characteristic information mates with the face characteristic information of described extraction, the ID if so, then obtaining the auto heterodyne archives picture corresponding with described auto heterodyne face characteristic information identifies as targeted customer.
3. the photo sending method based on recognition of face according to claim 1, it is characterised in that the step of described establishment groups of users includes:
The proximal subscribers mark that detection geographical position is corresponding less than or equal to the terminal of distance threshold with local position distance, creates groups of users according to described proximal subscribers mark.
4. the photo sending method based on recognition of face according to claim 3, it is characterised in that also include after the step of the proximal subscribers mark that described detection geographical position is corresponding less than or equal to the terminal of distance threshold with local position distance:
Obtain the auto heterodyne archives picture preset, described default auto heterodyne archives picture is sent to the terminal that described proximal subscribers mark is corresponding.
5. the photo sending method based on recognition of face according to claim 1, it is characterised in that the described step that described picture of taking pictures is sent to the terminal that the targeted customer that described inquiry obtains identifies correspondence includes:
To server upload described in take pictures picture and described targeted customer mark, described server described picture of taking pictures mass-sended the terminal identifying correspondence to described targeted customer.
6. the photo sending method based on recognition of face according to claim 1, it is characterised in that described described picture of taking pictures is sent to the targeted customer that described inquiry obtains identify correspondence terminal step before also include:
Obtain the quantity of targeted customer's mark that described inquiry obtains, generate picture of taking pictures and send information, described in picture of taking pictures send information and include targeted customer's mark that described inquiry obtains and/or the quantity of targeted customer's mark that described inquiry obtains.
7. the photo dispensing device based on recognition of face, it is characterised in that including:
Group creating module, is used for creating groups of users, obtains the auto heterodyne archives picture that the ID in described groups of users is corresponding；
Face characteristic information extraction module, takes pictures picture for acquisition, described picture of taking pictures is carried out recognition of face, each self-corresponding face characteristic information of at least one human face region comprised in picture of taking pictures described in extraction；
User's enquiry module, the targeted customer mark corresponding with the face characteristic information of described extraction for inquiring about auto heterodyne archives picture in described groups of users；
Sending module, the targeted customer obtained for described picture of taking pictures is sent to described inquiry identifies the terminal of correspondence.
8. the photo dispensing device based on recognition of face according to claim 7, it is characterised in that described face characteristic information extraction module is additionally operable to:
Traverse user group, carries out recognition of face to the auto heterodyne archives picture of all users, obtains each self-corresponding auto heterodyne face characteristic information of the human face region comprised in described auto heterodyne archives picture；
Judging whether described auto heterodyne face characteristic information mates with the face characteristic information of described extraction, the ID if so, then obtaining the auto heterodyne archives picture corresponding with described auto heterodyne face characteristic information identifies as targeted customer.
9. the photo dispensing device based on recognition of face according to claim 8, it is characterised in that described group creating module is additionally operable to:
The proximal subscribers mark that detection geographical position is corresponding less than or equal to the terminal of distance threshold with local position distance, creates groups of users according to described proximal subscribers mark.
10. the photo sending method based on recognition of face according to claim 9, it is characterized in that, described device also includes auto heterodyne archives picture sending module, for obtaining default auto heterodyne archives picture, described default auto heterodyne archives picture is sent to the terminal that described proximal subscribers mark is corresponding.
11. the photo dispensing device based on recognition of face according to claim 7, it is characterised in that described sending module is additionally operable to:
To server upload described in take pictures picture and described targeted customer mark, described server described picture of taking pictures mass-sended the terminal identifying correspondence to described targeted customer.
12. the photo dispensing device based on recognition of face according to claim 7, it is characterized in that, described device also includes targeted customer's quantity reminding module, for obtaining the quantity of targeted customer's mark that described inquiry obtains, generation picture of taking pictures sends information, described in picture of taking pictures send information and include targeted customer's mark that described inquiry obtains and/or the quantity of targeted customer's mark that described inquiry obtains.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107302492A (en) * | 2017-06-28 | 2017-10-27 | 歌尔科技有限公司 | Friend-making requesting method, server, client terminal device and the system of social software |
| WO2018035819A1 (en) * | 2016-08-25 | 2018-03-01 | 北京小米移动软件有限公司 | Method and device for processing photographs |
| WO2018099295A1 (en) * | 2016-11-30 | 2018-06-07 | 阿里巴巴集团控股有限公司 | Image-based determination method and apparatus, and calculation device |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412877A (en) * | 2013-07-15 | 2013-11-27 | 珠海市魅族科技有限公司 | Method and device for transmitting picture |
| CN104317932A (en) * | 2014-10-31 | 2015-01-28 | 小米科技有限责任公司 | Photo sharing method and device |
| CN105005599A (en) * | 2015-06-30 | 2015-10-28 | 广东欧珀移动通信有限公司 | Photograph sharing method and mobile terminal |
| CN105069075A (en) * | 2015-07-31 | 2015-11-18 | 小米科技有限责任公司 | Photo sharing method and device |
-
2016
- 2016-01-29 CN CN201610066603.0A patent/CN105740426A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412877A (en) * | 2013-07-15 | 2013-11-27 | 珠海市魅族科技有限公司 | Method and device for transmitting picture |
| CN104317932A (en) * | 2014-10-31 | 2015-01-28 | 小米科技有限责任公司 | Photo sharing method and device |
| CN105005599A (en) * | 2015-06-30 | 2015-10-28 | 广东欧珀移动通信有限公司 | Photograph sharing method and mobile terminal |
| CN105069075A (en) * | 2015-07-31 | 2015-11-18 | 小米科技有限责任公司 | Photo sharing method and device |
Cited By (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN108027821B (en) * | 2016-08-25 | 2022-03-01 | 北京小米移动软件有限公司 | Method and device for processing picture |
| WO2018099295A1 (en) * | 2016-11-30 | 2018-06-07 | 阿里巴巴集团控股有限公司 | Image-based determination method and apparatus, and calculation device |
| US11126827B2 (en) | 2016-11-30 | 2021-09-21 | Alibaba Group Holding Limited | Method and system for image identification |
| CN108702602B (en) * | 2017-03-10 | 2020-08-18 | 华为技术有限公司 | Image sharing method, electronic device and system |
| WO2018161353A1 (en) * | 2017-03-10 | 2018-09-13 | 华为技术有限公司 | Photo sharing method and device |
| CN108702602A (en) * | 2017-03-10 | 2018-10-23 | 华为技术有限公司 | Share method, electronic equipment and the system of image |
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| CN107302492A (en) * | 2017-06-28 | 2017-10-27 | 歌尔科技有限公司 | Friend-making requesting method, server, client terminal device and the system of social software |
| CN109454997A (en) * | 2017-07-23 | 2019-03-12 | 宁波亿诺维信息技术有限公司 | A kind of two dimensional code printing generation system with electronics texture |
| CN109454997B (en) * | 2017-07-23 | 2020-11-24 | 泗县飞虹体育文化发展有限公司 | Two-dimensional code printing generation system with electronic texture |
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| WO2019153504A1 (en) * | 2018-02-07 | 2019-08-15 | 平安科技（深圳）有限公司 | Group creation method and terminal thereof |
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