CN106130885A - Method and system based on image recognition opening relationships - Google Patents
Method and system based on image recognition opening relationships Download PDFInfo
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- CN106130885A CN106130885A CN201610564048.4A CN201610564048A CN106130885A CN 106130885 A CN106130885 A CN 106130885A CN 201610564048 A CN201610564048 A CN 201610564048A CN 106130885 A CN106130885 A CN 106130885A
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- H—ELECTRICITY
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- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
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- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
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Abstract
The present invention relates to social software approach field, a kind of method and system based on image recognition opening relationships.It is characterized in that, different clients obtains image to same object, by image recognition comparison is set up the relation between client.Provide the benefit that: provide one by natural world (people, thing, transient scene, and, described people, thing, the geo-location parameter constraint of transient scene) it is intermediary's method and system of setting up human relationship, system includes instant messaging (QQ, wechat, wechat public number, footpath between fields, footpath between fields etc.), microblogging, blog, forum, popular comment, purchase by group net etc., relation includes good friend, group, member, participant etc., and relation founder is for closing owner, such as group master, building-owner etc..
Description
Technical field
The present invention relates to social software approach field, a kind of method based on image recognition opening relationships and be
System.
Background technology
The most social software such as instant messaging QQ, wechat, microblogging, blog, forum etc., usually client pass through id or name
Claim and social founder's opening relationships, including database search, but be finally to set up social networks by id, thus formed
Friend, group members, forum member etc..
At present image recognition software is increasingly mature, if Chinese patent bulletin CN201210292574.1 is based on distributed and arrange literary composition
The method for outdoor large-scale object recognition of part and system, the tourist attractions of a CN201410468259.9 facing moving terminal and
Scenery intelligent identifying system and method and existing face identification system, fingerprint recognition system.
It is an object of the invention to provide a kind of by natural world (people, thing, transient scene, and, described people, thing, one
The geo-location parameter constraint of the property crossed scene) it is intermediary's method and system of setting up human relationship.
Summary of the invention
It is an object of the invention to provide a kind of by natural world (people, thing, transient scene, and, described people, thing, one
The geo-location parameter constraint of the property crossed scene) it is intermediary's method and system of setting up human relationship, system includes IMU
News (QQ, wechat, wechat public number, footpath between fields, footpath between fields etc.), microblogging, blog, forum, popular comment, purchase by group net etc., relation include good friend,
Group, member, participant etc., relation founder is for closing owner, such as group master, building-owner etc..
The technical scheme is that
A kind of method based on image recognition opening relationships, it is characterised in that different clients obtains image to same object,
By image recognition comparison being set up the relation between client, including arranging destination image data storehouse, and destination image data
Storehouse duplicate checking unit, its step is as follows:
(1) client 1 sets up identity id1, and client 1 obtains the target image 1 of object；
(2) client 1 uploads target image 1 to server；
(3) server storage target image 1, and to target image 1 duplicate checking in destination image data storehouse, if without, perform wound
Build relation main operation, target image 1 is put on record to destination image data storehouse simultaneously；
(4) client 2 sets up identity id2, and client 2 obtains the target image 2 of object；
(5) client 2 uploads target image 2 to server；
(6) server storage target image 2；
(7) target image 2 and target image 1 are identified comparison, i.e. identify judgement；
(8) if identifying and being judged as N, i.e. target image 2 and target image 1 is different, then id2 and id1 opening relationships failure；
(9) if identifying and being judged as Y, i.e. target image 2 is identical with target image 1, then id2 and id1 opening relationships is informed simultaneously
Id2 and id1 opening relationships success, informs id1 and id2 opening relationships success.
Further, in step (1), the target image 1 of the object that client 1 obtains is target image group, described target
Image sets by several differences towards the photo of object form；Meanwhile, in step (7) target image 2 and target image group
Each photo is identified comparison, i.e. identifies judgement.
Or,
In step (1), the target image 1 of the object that client 1 obtains is entity 3D rendering, and it is right that described entity 3D rendering comprises
Object all towards photo, i.e. all set towards photo of object；Meanwhile, step (7) target image 2 and entity 3D
Difference in image towards photo be identified comparison, i.e. identify judgement.
Or,
In step (1), the target image 1 of the object that client 1 obtains also includes level inclination α 1, direction angle beta 1；Client 2
The target image 2 obtaining object also includes level inclination α 2, direction angle beta 2；Meanwhile, step (7) also includes that threshold values judges: as
Really Δ β=| β 2-β 1 | >=threshold values, it is determined that for " N ", opening relationships is failed, if Δ β ＜ threshold values, it is determined that for " Y ", would carry out Δ α valve
Value judges, if Δ α=| α 2-α 1 | >=threshold values, it is determined that for " N ", opening relationships failure, if Δ α ＜ threshold values, it is determined that for " Y ",
Target image 2 and target image 1 are identified comparison, i.e. identify judgement.
Further, step (1) client 1 also includes geographical location information, step in obtaining the target image 1 of object
(4) client 2 also includes geographical location information 2 in obtaining the target image 2 of object；Meanwhile, step (7) also includes geographical position
Scope of putting judges, setting if meeting geographical position range, target image 2 and target image 1 are identified comparison, i.e. identify
Judge.
Further, client 1 obtains the target image 1 of object words identification, it is simple to other client carries out literary composition
Search words.
Further, any client id can add markup information on target image 1, and markup information is by markup information
Data base preserves, and described markup information is superimposed upon on target image 1 display.
Further, target image 1 is digitally signed by all clients end, it is ensured that target image 1 is by founder id1 institute
Have.
Further, by between client, target image is carried out p2p signature, client ensure that target image 1 is by creating
The person of building id1 owns: use ECDSA (ECDSA), including:
A, private key, owner needs safekeeping, random algorithm generate；
B, PKI, corresponding with private key, a private key can release unique PKI, and PKI cannot derive private key；
C, signature, use private key that data are signed (Sign) and signed (Signature), data first generate Hash
Value, then signs to this hash value, and signature (signature) is made up of two parts: R+S, by signing
(signature) release a PKI with hash value, verify this PKI, just may know that this signature is whether by the private key that PKI is corresponding
Signature；
D, address, PKI generates the algorithm of address: 1.Version=1 byte of 0 (zero); on the test
network, this is 1 byte of 1112.Key hash = Version concatenated with RIPEMD-
160(SHA-256(public key))3.Checksum = 1st 4 bytes of SHA-256(SHA-256(Key
hash))4.Bitcoin Address = Base58Encode(Key hash concatenated with Checksum)。
A kind of method based on image recognition opening relationships, is further characterized in that, described relation is: good friend, group, member,
Participant, relation founder is for closing owner: group master, building-owner etc..
Further, described a kind of based on image recognition opening relationships method, it is further characterized in that, described target image
1 is competed establishment by closing owner, i.e. obtains unique relationships master based on target image 1, or founder is all of target image 1
Person, have internetwork operation authority such as network based on target image 1 guide, link, redirect, triggering etc..
A kind of method based on image recognition opening relationships, it is characterised in that same object is obtained by different clients
Image, by image recognition comparison is set up the relation between client, the image of object is i.e. reserved image and is saved in service
In device, comprise the steps:
(1) client 1 sets up the reserved image of identity id1, id1 association；
(2) client 2 sets up identity id2, and client 2 obtains the target image 2 of object；
(3) client 2 uploads target image 2 to server；
(4) server storage target image 2；
(5) target image 2 and reserved image compare, and i.e. identify judgement, if identifying and being judged as N, i.e. and target image 2 and reserved figure
As different, then opening relationships failure, if it is determined that Y, then id1 and id2 opening relationships, informs id2 and id1 opening relationships simultaneously
Success, informs id1 and id2 opening relationships success.
Further, the reserved image of object is target image group, described target image group by several differences towards mesh
The photo composition of mark thing；Meanwhile, each photo in step (5) target image 2 and target image group is identified comparison, i.e. knows
Do not judge.
Or,
The reserved image of object is entity 3D rendering, described entity 3D rendering comprise to object all towards photo, i.e.
The all set towards photo of object；Meanwhile, the difference in step (5) target image 2 and entity 3D rendering towards photo
It is identified comparison, i.e. identifies judgement.
Or,
The reserved image of object also includes level inclination α, direction angle beta；Meanwhile, step (5) also includes that threshold values judges: if Δ
β=| β 2-β | >=threshold values, it is determined that for " N ", opening relationships is failed, if Δ β ＜ threshold values, it is determined that for " Y ", would carry out Δ α threshold values and sentence
Disconnected, if Δ α=| α 2-α | >=threshold values, it is determined that for " N ", opening relationships is failed, if Δ α ＜ threshold values, it is determined that for " Y ", target
Image 2 and reserved image are identified comparison, i.e. identify judgement.
Further, the reserved image of object also including, geographical location information, step (2) client 2 obtain target
The target image 2 of thing also includes geographical location information 2；Meanwhile, step (5) also includes that geographical position range judges, if symbol
Closing geographical position range to set, target image 2 and reserved image are identified comparison, i.e. identify judgement.
Further, the reserved image of object has words identification, it is simple to client carries out character search.
Further, any client id can add markup information on reserved image, and markup information is by markup information
Data base preserves, and described markup information is superimposed upon on reserved image display.
Described reserved image is obtained association by closing owner's competition, i.e. obtains unique relationships master based on reserved image, or institute
The person of having, obtains the Internet based on reserved image and guides, as linked, redirecting, triggering etc..
Described relation is: good friend, group, member, participant, and relation founder is for closing owner: group master, building-owner etc..
A kind of system based on image recognition opening relationships, is characterized in that:
Client, including photographic head, for the image of photographic subjects thing, forms target image；
Server, receives unit, destination image data storehouse, destination image data storehouse duplicate checking unit, image knowledge including target image
Other unit.
Or:
A kind of system based on image recognition opening relationships, is characterized in that:
Client, including photographic head, for the image of photographic subjects thing, forms target image；
Server, receives unit, reserved image data base, image identification unit including target image.
Described a kind of based on image recognition opening relationships system, is characterized in that: server also includes:
Mark database, is labeled target image for client user；
Index, retrieves mark database for client；
Image superimposition unit, is overlapped display for markup information and target image；
Image transmitting element, is used for sending superimposed image to show in client.
Described a kind of based on image recognition opening relationships system, is characterized in that: target image or reserved image also wrap
Contain or associate one of following information or combine: geographical location information, level inclination, deflection, retrieval words identification.
Described a kind of based on image recognition opening relationships system, is characterized in that: photographic head is two dimension photographic head, or many
Camera lens scanning camera., or 3D scanner, or microimaging head.
Described a kind of based on image recognition opening relationships system, is characterized in that: server also includes image co-registration list
Unit, maps for the target image in destination image data storehouse is fused to natural world digitized, has application interface to provide clothes
Business.
Described a kind of based on image recognition opening relationships system, is characterized in that: described client is mobile phone.
The method of service of described method has: client service mode, cloud service mode, embed existing instant messaging service side
Formula, employing third party's interface service (API).
Described target image 1 is created by id1, obtains the proprietary rights of target image 1, and proprietary rights can be between id2 ~ idn
Transfer.
The proprietary rights of described reserved image or the right to use can shift between id1 ~ idn.
The invention has the beneficial effects as follows: provide one by natural world (people, thing, transient scene, and, described people,
Thing, the geo-location parameter constraint of transient scene) it is intermediary's method and system of setting up human relationship, system includes i.e.
Time communication (QQ, wechat, wechat public number, footpath between fields, footpath between fields etc.), microblogging, blog, forum, popular comment, purchase by group net etc., relation includes
Friend, group, member, participant etc., relation founder is for closing owner, such as group master, building-owner etc..
Accompanying drawing explanation
Fig. 1 is present system frame principle.
Fig. 2 is flow chart of the present invention (id1 creates target image 1).
Fig. 3 is flow chart of the present invention (reserved image in server).
Fig. 4 is increase geographic location constraint condition in Fig. 2 flow chart.
Fig. 5 is that the present invention uses geographical position constraint and the image flow chart towards angle automatching.
Fig. 6 is that image is towards angle automatching schematic diagram.
Fig. 7 is the flow chart that idx creates idx pass owner (group master, forum master, sponsor etc.) in the server.
Fig. 8 is server configures unit.
Fig. 9 is the dispensing unit that server increases image labeling data base.
Figure 10 is the database structure organizational form that mobile phone terminal display image labeling uses.
Figure 11 is the embodiment flow chart (Text Flag retrieval) that the present invention considers that image recognition error uses.
The image that Figure 12 provides for id1 in the present invention is image sets or entity 3D rendering embodiment schematic diagram.
Figure 13 is the flow chart of Figure 12 embodiment.
Figure 14 is the target image 2(plane picture that id2 uploads) and entity 3D rendering comparison be identified judge flow process
Figure.
Figure 15 is the plane graph acquisition strategy of entity 3D rendering in Figure 14 flow process.
Figure 16 is the embodiment that target image of the present invention uses digital signature.
Figure 17 is the embodiment that target image of the present invention uses P2P digital signature.
Figure 18 is that the magnanimity target image utilizing the present invention to be formed carries out the mapping application of natural world digitized.
Detailed description of the invention
The present invention is further described with embodiment below in conjunction with the accompanying drawings.
Configuration in view of existing smart mobile phone is suitable for method and the configuration of the present invention, in discussion, mobile phone terminal i.e. client.
Fig. 1 is present system frame principle.101 is id1 mobile phone, and 102 is id2 mobile phone, and 103 is object, and 104 are
Server, 105 is the target image preserved in server, and mobile phone amount is unrestricted, and it is designated idn, and i.e. 106 is idn hands
Machine.
Fig. 2 is flow chart of the present invention (id1 creates target image 1), and including arranging destination image data storehouse, its step is such as
Under: 201, obtain target image 1, the photographic head of mobile phone terminal 1 obtain；202, upload target image 1, mobile phone terminal 1 pass through net
Network uploads onto the server；203, target image 1 stores, and (target image 1 duplicate checking in destination image data storehouse is seen figure
7), if " having ", perform opening relationships operation, if "None", perform to create relational operation, target image 1 is put on record simultaneously
To destination image data storehouse, this step assumes "None"；204, obtain target image 2, the photographic head of mobile phone terminal 2 obtain；205、
Upload target image 2, mobile phone terminal 2 uploaded onto the server by network；206, target image 2 stores, alternatively, to target figure
Picture 2 duplicate checking (seeing Fig. 7) in destination image data storehouse, if "None", performs to create relational operation, if " having ", performs
Opening relationships operates, and this step assumes " having "；207, target image 2 and target image 1 compare, and i.e. identify judgement；If 208
Identification is judged as N, i.e. target image 2 and target image 1 is different, then id2 and id1 opening relationships failure；If 209 identifications are sentenced
Break identical with target image 1 for Y, i.e. target image 2, then id2 and id1 opening relationships, inform id2 and id1 opening relationships simultaneously
Success, informs id1 and id2 opening relationships success.
Opening relationships form is: (1) id2, id3 ... idn respectively with id1 opening relationships, not do not close between id2 ~ idn
System；(2) id2, id3 ... idn respectively with id1 opening relationships, be Membership in group between id2 ~ idn, id1 is based on mesh
The group master of the group of logo image 1.
Seeing figures.1.and.2, the opening relationships broad sense of the present invention refers to that the information exchange setting up between each client id is closed
System, narrow sense such as instant messaging (QQ, wechat, wechat public number, footpath between fields, footpath between fields etc.), microblogging, blog, forum, masses comment on, purchase by group net etc.
Participant between relation, relation includes good friend, group, member etc., closes owner i.e. sponsor, group master, building-owner etc..Application scenarios
As: (1) meeting-place adds group: sponsor shoots rostrum, meeting-place as target image 1, and other people are by shooting rostrum, meeting-place image
Carry out adding group operation；(2) shop fronts adds group: sponsor shoots shop fronts as target image 1, and other people are by shooting business
Shop door face image carries out adding group operation；(3) face plusing good friend: id1 is using oneself face as target image 1, and other people pass through
Shooting id1 facial image carries out plusing good friend operation；(4) focus adds group: sponsor shoots focus as target image 1, its
Other people carry out adding group operation by shooting focus image.
Image recognition at present has different recognition modes and comparison strategy, and the most existing recognition of face has had very
Good uniqueness, CN00136764.1 utilizes the microscopic state of object itself to carry out the method disclosed by false proof method also can be only
One ground determines an object, and CN201210292574.1 is based on distributed and inverted file method for outdoor large-scale object recognition
With system, the tourist attractions of a CN201410468259.9 facing moving terminal and scenery intelligent identifying system and method etc.,
Above-mentioned image recognition is based on plane picture identification.
The key issue of the present invention is that the identification of target image 2 and target image 1 judges the most completely the same ability milli
Free burial ground for the destitute determines the relation set up between id1 and id2 undoubtedly, it is assumed that id1 is sponsor, and target image 1 can be plane graph, such as scape
Thing, face, object micro-image etc., or entity 3D rendering, entity 3D rendering is obtained by multilens scanning camera, or 3D scanner
Obtaining, entity 3D rendering can be regarded as and is made up of countless plane pictures, owing to any two object all has in feature in the world
Difference, so can uniquely determine this target object by feature difference in theory, is the feelings of plane picture for target image 1
Condition, due to the angle difference of target image 2 shooting, so it is difficult to ensure that the uniqueness of image recognition, so for plane picture
Situation be applicable to recognition of face, object microstructure identification, a corrective measure of plane picture identification is introduced into clapping
Taking the photograph angle, another corrective measure is introduced into geographical location information (such as scene shot).Assume that id1 uploads is entity 3D figure
Picture, entity 3D rendering can regard as and be made up of countless different angles plane pictures, it is assumed that id2 is described reality in certain angle shot
The plane picture 2 of body, must have a plane picture identical with plane picture 2 in entity 3D rendering, so by plane picture 2 He
The identification of entity 3D rendering also can determine this entity uniquely.
It addition, the situation of the solid images for cannot be uniquely determined, such as the image of different angles shooting, transient scene
As different id photograph the automobile of traveling simultaneously, or same object daytime (resemblance) and two kinds of feelings at night (light feature)
Condition, these situations can be created by mobile phone terminal id as different images, with reference to Fig. 7 flow process, the steps include: that (1) idx obtains mesh
Logo image x；(2) image in target image x and destination image data storehouse carries out inquiring about identification, failing to inquire phase
Without coupling image in same image, i.e. destination image data storehouse, idx create pass owner based on target image x, simultaneously by target
Image x puts on record to destination image data storehouse in case other id inquire about；(3) data relationship based on target image x is entered by server
Row top set operates: be ranked up according to the id quantity of target image x opening relationships；(4) can be by few for opening relationships quantity
Target image is deleted from destination image data storehouse.So can by the quantity of opening relationships number set up target image
Uniqueness.
Fig. 3 is flow chart of the present invention (reserved image in server).Its step includes: 301, obtain target image 1, by hands
The photographic head of machine end 1 obtains；302, upload target image 1, mobile phone terminal 1 uploaded onto the server by network；303, target figure
As 1 storage；304, obtain target image 2, the photographic head of mobile phone terminal 2 obtain；305, upload target image 2, mobile phone terminal 2 lead to
Cross network to upload onto the server；306, target image 2 stores；307, target image 1 and reserved image compare, and i.e. identify judgement,
If identifying and being judged as N, i.e. target image 1 is different with reserved image, then opening relationships is unsuccessfully, if it is determined that Y, then 308, mesh
Logo image 2 and reserved image compare, and i.e. identify judgement, if identifying and being judged as N, i.e. target image 2 is different with reserved image, then
Opening relationships failure, if it is determined that Y, then 309, id1 and id2 opening relationships, informs id2 and id1 opening relationships success simultaneously,
Inform id1 and id2 opening relationships success.The reserved image of object is directly provided by the service provider of server, it is possible to protect
The uniqueness of the reserved image of card, numerous reserved images form reserved image data base.Especially, id1 associates with reserved image, i.e.
Reserved image is as target image 1, and practical significance is the proprietary rights that id1 obtains reserved image, becomes pass based on reserved image
Owner, the steps include: that (1) client 1 sets up the reserved figure of identity id1, id1 association；(2) client 2 sets up identity
Id2, client 2 obtains the target image 2 of object；(3) client 2 uploads target image 2 to server；(4) server is deposited
Storage target image 2；(5) target image 2 and reserved image compare, and i.e. identify judgement, if identifying and being judged as N, i.e. and target image 2
Different with reserved image, then opening relationships failure, if it is determined that Y, then id1 and id2 opening relationships, informs id2 and id1 simultaneously
Opening relationships success, informs id1 and id2 opening relationships success.
Fig. 4 is increase geographic location constraint condition in Fig. 2 flow chart.Its step includes: 401, obtain target image 1, by
The photographic head of mobile phone terminal 1 obtains；402, upload target image 1, mobile phone terminal 1 uploaded onto the server by network；403, target
Image 1 stores；404 report geographical location information 1, and i.e. the latitude and longitude information of mobile phone terminal 1 present position, can come from GPS or base
Stand LBS；405 storage id1 geographical location information 1；406, obtain target image 2, the photographic head of mobile phone terminal 2 obtain；407, obtain
Take geographical location information 2, the i.e. latitude and longitude information of mobile phone terminal 2 present position, can come from GPS or base station LBS；408, report ground
Reason positional information 2；409, storage id2 geographical location information 2；410, geographical position range judge, such as larger than 100 meters then " N " build
Vertical relation failure；If less than 100 meters then " Y ", enter 411, allow to upload image, the most only allow in the range of 100 meters
Upload image, it is possible to reduce overhead；412, upload target image 2, mobile phone terminal 2 uploaded onto the server by network；
413, target image 2 stores；414, target image 2 and target image 1 compare, and i.e. identify judgement, if identifying and being judged as N, i.e.
Target image 2 and target image 1 are different, then opening relationships failure, if identifying and being judged as Y, then 415, id1 and id2 set up pass
System, informs id2 and id1 opening relationships success simultaneously, informs id1 and id2 opening relationships success.Geographical position in this embodiment
Information can be directly contained in uploaded image file, refers to CN2012103411923 image file format and life
Become method and device and application.For application scenarios such as: (1) meeting-place adds group's (in the range of 20 meters): sponsor shoots meeting-place chairman
Platform is as target image 1, and other people carry out adding group operation by shooting rostrum, meeting-place image；(2) shop fronts adds group (50 meters
In the range of): sponsor shoots shop fronts as target image 1, and other people carry out adding group by shooting shop fronts image and grasp
Make；(3) face plusing good friend (in the range of 10 meters): id1 is using the face of oneself as target image 1, and other people are by shooting id1 people
Face image carries out plusing good friend operation；(4) focus adds group's (in the range of 1000 meters): sponsor shoots focus as target image
1, other people carry out adding group operation by shooting focus image.One special circumstances of the present embodiment are, on different ground
There is similar object reason position, does not has two objects of same characteristic features the most in the world, due to resolution ratio of camera head
Limit, such as two identical posters in practical operation, identical photo may be photographed for common camera, for this
Situation can arrange geographical station location marker in the recognition mode of server and be distinguished by, two width target figures of the two object
As processing as two different target images.
Fig. 5 is that the present invention uses geographical position constraint and the image flow chart towards angle automatching, referring concurrently to Fig. 6
For image towards angle automatching schematic diagram, when Fig. 6 can obtain image taking towards angle, such as North and South direction β (S20E table
Show south by east 20 degree), level inclination α (30 degree of elevations angle), figure also includes geographical position latitude and longitude information, Fig. 5 flow chart simultaneously
Step includes: 501, obtains target image 1 and level inclination α 1, direction angle beta 1, the photographic head of mobile phone terminal 1 obtains；502, on
Pass target image 1 and α 1, β 1, mobile phone terminal 1 uploaded onto the server by network；503, target image 1 and α 1, β 1 store；
504, report geographical location information 1, the i.e. latitude and longitude information of mobile phone terminal 1 present position, can come from GPS or base station LBS；505、
Storage id1 geographical location information 1；506, target image 2 and level inclination α 2, direction angle beta 2 are obtained, by the photographic head of mobile phone terminal 2
Obtain；507, obtaining geographical location information 2, i.e. the latitude and longitude information of mobile phone terminal 2 present position, can come from GPS or base station
LBS；508, geographical location information 2 is reported；509, storage id2 geographical location information 2；510, geographical position range judges, as greatly
In 100 meters of then " N " opening relationships failures；If less than 100 meters then " Y ", enter 511, upload target image 2 and α 2, β 2, by hands
Machine end 2 is uploaded onto the server by network；512, target image 2 and α 2, β 2 store；513, threshold values judges, if Δ β=| β 2-β
1 | >=threshold values is " N ", opening relationships failure, if Δ β ＜ threshold values is " Y ", entrance 514, threshold values judge, if Δ α=| α 2-α 1
| >=threshold values is " N ", opening relationships failure, if Δ α ＜ threshold values is " Y ", enters 515, target image 2 and target image 1 and compares
Relatively, i.e. identifying judgement, if identifying and being judged as N, i.e. target image 2 and target image 1 is different, then opening relationships failure, if
Identification is judged as Y, then 516, id1 and id2 opening relationships, inform id2 and id1 opening relationships success simultaneously, inform id1 and id2
Opening relationships success.Further, 5171, id1 markup information, i.e. by id1, the target image 1 that it is affiliated is carried out information labeling,
Such as text, hand-written (image), link etc., such as " have visited this place 1 "；5172, id1 markup information is superimposed upon on target image 1 aobvious
Show；5173, superimposed image pushes；5174, show at mobile phone terminal 2: id1 markup information+target image 1；5175, at mobile phone terminal 1
Display: id1 markup information+target image 1；5176, id2 markup information, is i.e. carried out letter by id2 to the target image 1 belonging to id1
Breath mark, such as text, hand-written (image), link etc., such as " have visited this place 2 "；5177, id2 markup information is superimposed upon target figure
Showing on 1, superimposed image shows at mobile phone terminal 2 after pushing: id2 markup information+target image 1, shows at mobile phone terminal 1: id,
2 markup informations+target image 1.In the present embodiment, the mark database associated with target image 1 uses the organizer of layering
Formula, display index is triggered retrieval by mobile phone touch, is the database structure group that mobile phone terminal display image labeling uses with reference to Figure 10
Knitting mode, id1 is ground floor maximum mark, is amplified by touch screen, i.e. touch screen triggering amplification parameter is indexed, it is thus achieved that the second layer
Data form id2 mark ~ id5 marks, by touch screen id2 can mark ~ arbitrary mark during id5 marks amplifies and shows, the
Three layer data lists be id6 mark ~ id21 mark, again by touch screen id6 can mark ~ id21 mark in arbitrary mark
Amplifying display, until idn, quantity is without restriction.In this embodiment, geographical location information can be directly contained in and to be uploaded
In image file, refer to CN2012103411923 image file format and generate method and device and application.For application
Scene is such as: (1) meeting-place adds group's (in the range of 20 meters, Δ β ＜ 90 degree, Δ α ＜ 45 degree): sponsor shoots rostrum, meeting-place as mesh
Logo image 1, other people carry out adding group operation by shooting rostrum, meeting-place image；(2) shop fronts add group (in the range of 50 meters,
Δ β ＜ 90 degree, Δ α ＜ 45 degree): sponsor shoots shop fronts as target image 1, and other people are by shooting shop fronts figure
As carrying out adding group operation；(3) face plusing good friend (in the range of 10 meters, Δ β ＜ 30 degree, Δ α ＜ 30 degree): id1 is with the face of oneself
As target image 1, other people carry out plusing good friend operation by shooting id1 facial image；(4) focus adds group's (1000 meters of models
In enclosing, Δ β ＜ 90 degree, Δ α ＜ 45 degree): sponsor shoots focus as target image 1, and other people are by shooting focus
Image carries out adding group operation；Application scenarios (5) sight spot virtual graffiti further: owing to the scribble such as " having visited this place " at sight spot is one
Planting uncultivated performance, it is uniquely affiliated for sponsor as target image 1(target image 1 that sponsor shoots sight spot), other people
Adding markup information (scribble information) by shooting sight spot image after being identified, so, the id1 of first shooting image 1 is i.e.
For closing owner, obtain the main status of group of group based on this sight spot.
Fig. 7 is the flow chart that idx creates idx pass owner (group master, forum master, sponsor etc.) in the server, it is contemplated that
Based on real-world objects be intermediary's opening relationships net it is essential to ensure that the uniqueness of target image, its step includes: 701, receive
From the target image x of idx, owing to being which id creates and closes owner and can not determine, so receiving target image x, server
In preserve successful target image of putting on record, form destination image data storehouse；702, identification, i.e. uses applicable identification
Pattern and comparison strategy identification in destination image data storehouse；703, structure is identified, if destination image data storehouse has
Target image n, then idx is without creating the main qualification of relation (pass owner based on this target image is created), but can set up idx
Relation with idn；If recognition result is nothing, then 704, creating idx and close owner, as main in group, forum is main；Meanwhile, 705, standby
Case target image x, will add to destination image data storehouse by target image x.This flow process includes duplicate checking step, i.e. duplicate checking unit.
Fig. 8 is server configures unit, receives unit including target image, for receiving the shooting figure from client
Picture, image identification unit, image identification unit is adjusted by recognition mode and identification parameter, in order to the identification being suitable for different occasion is wanted
Asking, destination image data storehouse preserves all target images put on record.
Fig. 9 be server increase image labeling data base dispensing unit, increase mark database, image superimposition unit,
Image transmitting element, database index is driven by amplifying parameter, is the data that mobile phone terminal display image labeling uses with reference to Figure 10
Library structure organizational form, id1 is ground floor maximum mark, is amplified by touch screen, i.e. touch screen triggering amplification parameter is indexed, and obtains
Second layer data form id2 mark ~ id5 mark, by touch screen id2 can mark ~ id5 mark in arbitrary mark amplification
Display, third layer data form be id6 mark ~ id21 mark, again by touch screen id6 can be marked ~ id21 mark in
Arbitrary mark amplifies display, until idn, quantity is without restriction.
Figure 11 is the embodiment flow chart (Text Flag retrieval) that the present invention considers that image recognition error uses.By
Multiple similar image sample can be detected in image recognition retrieval, use Text Flag retrieval to obtain unique objects image further,
Its step includes: 1101, obtains target image 1, the photographic head of mobile phone terminal 1 obtains；1102, target image 1 is uploaded, by mobile phone
End 1 is uploaded onto the server by network；1103, target image 1 stores；1104, geographical location information 1, i.e. mobile phone terminal 1 institute are reported
The latitude and longitude information of position, place, can come from GPS or base station LBS；1105, storage id1 geographical location information 1；1106, geographical position
Put scope screening, i.e. according to geographical position range in the word of server end, the destination image data storehouse of geographical position mark
(parameter can be 0 ~ ∞) screening obtains target image for future reference；1107, identify and judge, if at the word of server end, geography
In the destination image data storehouse of station location marker, the existing target image inquired about then can be with Query Result id opening relationships, such as
Add this group, if Query Result is nothing, then input the words identification 1 of target image 1；1108, words identification 1 duplicate checking, it is ensured that
The uniqueness of words identification retrieval, if nothing, then 1109, creates id1 and closes owner, such as based on target image 1 group master, simultaneously
Put on record the words identification 1 of id1, geographical location information 1, target image 1, be used for ensureing that target image 1 can not be repeated by other id
Registration, i.e. competitive registration；1110. obtain target image 2, the photographic head of mobile phone terminal 2 obtain；1111, geographical position is obtained
Information 2, the i.e. latitude and longitude information of mobile phone terminal 2 present position, can come from GPS or base station LBS；1112, geographical position is reported to believe
Breath 2；1113, storage id2 geographical location information 2；1114, geographical position range screening obtains target image for future reference；1115, upload
Target image 2, is uploaded onto the server by network by mobile phone terminal 2；1116, target image 2 stores；1117, judgement is identified, with mesh
Logo image 2 identifies inquiry in target image for future reference, if Query Result is nothing, then can create pass based on target image 2
Owner, such as group master, if Query Result is for having, and and target image 2 similar image, then be alternative mesh by Query Result list
Logo image, alternative target image is shown at mobile phone terminal 2, can visually select；Further, 1118, word indicating is sent by mobile phone terminal 2
Retrieval request；1119, assume to retrieve words identification 1, i.e. id1；1120, id2 and id1 opening relationships, inform simultaneously id2 and
Id1 opening relationships success, informs id1 and id2 opening relationships success, so introduces words identification retrieval and then can obtain unique inspection
Hitch fruit, in order to realize competition and create the effect closing owner.In this embodiment, geographical location information can be directly contained in
In the image file uploaded, refer to CN2012103411923 image file format and generate method and device and application.
For application scenarios such as: (1) shop fronts adds group (storekeeper becomes group master): sponsor shoots shop fronts as target image 1,
Other people carry out adding group operation by shooting shop fronts image；(2) focus adds group's (creating sight spot group): sponsor shoots pass
Note point is as target image 1, and other people carry out adding group operation by shooting focus image.
The image that Figure 12 provides for id1 in the present invention is image sets or entity 3D rendering embodiment schematic diagram.Consider
The uniqueness requirement of the target image 1 that relation Your Majesty passes, it may be considered that the target image 2(plane picture of follow-up addition relation) and
The entity 3D figure of target image 1 image sets or target image 1 is identified comparing, such target image 1 image sets or target figure
As the entity 3D figure of 1 there being a width plane graph identical with target image 2, so ensure the uniqueness of target image 1.Embodiment party
Case is: (1) at different orientation photographic subjects things 103, is 5 orientation by mobile phone terminal 1 in figure, thus forms 5 width target images 1
Image sets 1201, and uploaded onto the server 104 by mobile phone terminal 1；(2) multilens scanning camera 1202 is used to obtain object 103
Entity 3D rendering, and upload onto the server 104；(3) 3D scanner 1203 is used to obtain the entity 3D rendering of object 103,
And uploading onto the server 104, existing 3D scanner has laser 3D scanner and optics 3D scanner.
Figure 13 is the flow chart of Figure 12 embodiment, is created by id1 and close owner in scheme, and its step includes: 1301, obtain
Entity 3D rendering, can be obtained multiple image sets of different angles, or multilens scanning by the photographic head of mobile phone terminal 1 to object
Camera obtains, or 3D scanner obtains；1302, upload entity 3D rendering, mobile phone terminal 1 uploaded onto the server by network；
1303, entity 3D rendering storage；1304, obtain target image 2, the photographic head of mobile phone terminal 2 obtain the plane picture of object；
1305, upload target image 2, mobile phone terminal 2 uploaded onto the server by network；1306, target image 2 stores；1307, identify
Judge, i.e. directive plane graph in target image 2 and entity 3D rendering compares, or in target image 2 and image sets
Every piece image compares respectively；If 1308 identify and are judged as N, i.e. all sides in target image 2 and entity 3D rendering
To each width of plane graph the most different, or the every piece image in target image 2 and image sets is the most different, then id2 and id1 builds
Vertical relation failure；If 1309 identify and are judged as Y, i.e. the plane graph phase of a direction in target image 2 and entity 3D rendering
With, or target image 2 is identical with certain piece image in image sets, then id2 and id1 opening relationships, informs id2 and id1 simultaneously
Opening relationships success, informs id1 and id2 opening relationships success.
Figure 14 is the target image 2(plane picture that id2 uploads) and entity 3D rendering comparison be identified judge flow process
Figure, its step includes:
(1) obtaining a plane graph of entity 3D rendering, described plane graph i.e. object is at the camera plane figure of a direction, flat
Face figure acquisition strategy is referred to the plane graph acquisition strategy of Figure 15 entity 3D rendering, object 103 due south (S) towards, to reality
Body 3D rendering is decomposed into west, 45 degree of north (N45W), east, 22.5 degree of north (N22.5E), east, 33.75 degree of north (N33.75E), east, 45 degree of north
(N45E), east, 67.5 degree of north (N67.5E), acquisition strategy is: A, take 45 degree of north western (N45W) and target image 2 compares, takes northern 45
Degree east (N45E) and target image 2 compare, if east, 45 degree of north (N45E) is more like, cast out west, 45 degree of north (N45W), retain north
45 degree of east (N45E)；B, take east, 22.5 degree of north (N22.5E) and target image 2 compares, takes northern 67.5 degree of eastern (N67.5E) and targets
Image 2 compares, if east, 22.5 degree of north (N22.5E) is more like, casts out west, 67.5 degree of north (N67.5W), retains east, 22.5 degree of north
(N22.5E)；C, the finally plane graph in (N33.75E) directions, 33.75 degree of east, selection north are identical with target image 2；
(2) plane graph and target image 2 comparison, existing comparison strategy has: characteristic point comparison, characteristic point relative to position comparison,
Image outline comparison, color of image comparison, image radio-frequency component comparison, image low-frequency component are than equity.
Figure 16 is the embodiment that target image of the present invention uses digital signature, it is contemplated that target image of putting on record unique
Property, all participant idn can be used respectively image to be digitally signed, so any one single id all can not change
The uniqueness of the attribute of target image, i.e. this target image, the program is the scheme having central server.For application scenarios
As: (1) creates the single shipowner that id is this target image of target image, obtains the Internet based on this target image and leads
To, as linked, redirecting, triggering etc.；(2) the group master that id is group based on this target image of target image is created.
It addition, apply as one, described signature can be anonymous, i.e. signer and target image founder does not sets up
Relation, is also added without group, only signature and expresses one's approval.
Figure 17 is the embodiment that target image of the present invention uses P2P digital signature, and the program is non-stop layer server side
Case, relative to Figure 16 scheme, is signed to target image by between client, client ensure that target image is by founder
All, so any one single id all can not change the owner attribute of target image, the i.e. uniqueness of this target image:
Use ECDSA (ECDSA), including: (1) private key, owner needs safekeeping, random algorithm generate
, 256,32 bytes, 1 ~ 0xFFFF FFFF FFFF FFFF FFFF FFFF FFFF FFFE BAAE DCE6 AF48
Number between A03B BFD2 5E8C D036 4141.(2) PKI, corresponding with private key, a private key can be released uniquely
PKI, PKI but cannot derive private key.(3) signature, uses private key that data are signed (Sign) and is signed
(Signature), data first generating hash value, then signs this hash value, signature (signature) has two parts
Composition: R+S, is released a PKI by signature (signature) with hash value, verifies this PKI, just may know that this signature is
The no private key signature corresponding by PKI.(4) address, PKI generates the algorithm of address: 1.Version=1 byte of 0
(zero); on the test network, this is 1 byte of 1112.Key hash = Version
concatenated with RIPEMD-160(SHA-256(public key))3.Checksum = 1st 4 bytes of
SHA-256(SHA-256(Key hash))4.Bitcoin Address = Base58Encode(Key hash
concatenated with Checksum).For application scenarios such as: (1) creates the id of target image is this target image
Everyone；(2) the group master that id is group based on this target image of target image is created.
Equally, applying as one, described signature can be anonymous, i.e. signer and target image founder does not sets up
Relation, is also added without group, only signature and expresses one's approval.
So, the id of signature is the most more can determine that the uniqueness of target image and founder have stablizing of this target image
Property.
Figure 18 is that the magnanimity target image utilizing the present invention to be formed carries out the mapping application of natural world digitized, side of the present invention
Case design is upper can use and competitive create pass owner, and the most numerous participants can be by intramundane image and comprise
Attribute is mapped to virtual network, and in figure, target image is supplied to server 104 by participant id1 ~ idn, by server
Form destination image data storehouse, and then the digitized mapping of the image co-registration forming material world can be carried out, and application interface is provided
(API).
Claims (10)
1. a method based on image recognition opening relationships, it is characterised in that different clients obtains figure to same object
Picture, by image recognition comparison being set up the relation between client, including arranging destination image data storehouse, and target image number
According to storehouse duplicate checking unit, its step is as follows:
(1) client 1 sets up identity id1, and client 1 obtains the target image 1 of object；
(2) client 1 uploads target image 1 to server；
(3) server storage target image 1, and to target image 1 duplicate checking in destination image data storehouse, if without, perform wound
Build relation main operation, target image 1 is put on record to destination image data storehouse simultaneously；
(4) client 2 sets up identity id2, and client 2 obtains the target image 2 of object；
(5) client 2 uploads target image 2 to server；
(6) server storage target image 2；
(7) target image 2 and target image 1 are identified comparison, i.e. identify judgement；
(8) if identifying and being judged as N, i.e. target image 2 and target image 1 is different, then id2 and id1 opening relationships failure；
(9) if identifying and being judged as Y, i.e. target image 2 is identical with target image 1, then id2 and id1 opening relationships is informed simultaneously
Id2 and id1 opening relationships success, informs id1 and id2 opening relationships success.
A kind of method based on image recognition opening relationships the most according to claim 1, is further characterized in that, step (1)
In, the target image 1 of object that client 1 obtains is target image group, described target image group by several differences towards
The photo composition of object；Meanwhile, each photo in step (7) target image 2 and target image group is identified comparison, i.e.
Identify and judge.
A kind of method based on image recognition opening relationships the most according to claim 1, is further characterized in that, step (1)
In, the target image 1 of the object that client 1 obtains is entity 3D rendering, and described entity 3D rendering comprises object all
Towards photo, i.e. all set towards photo of object；Meanwhile, in step (7) target image 2 and entity 3D rendering not
With towards photo be identified comparison, i.e. identify judgement.
4. according to a kind of based on image recognition opening relationships the method described in claim 1 or 2 or 3, it is further characterized in that, step
Suddenly (1) client 1 also includes that geographical location information, step (4) client 2 obtain target in obtaining the target image 1 of object
The target image 2 of thing also includes geographical location information 2；Meanwhile, step (7) also includes that geographical position range judges, if symbol
Closing geographical position range to set, target image 2 and target image 1 are identified comparison, i.e. identify judgement.
A kind of method based on image recognition opening relationships the most according to claim 4, is further characterized in that, arbitrary client
End id can add markup information on target image 1, and markup information is preserved by markup information data base, and described markup information is folded
It is added on target image 1 display.
6. a method based on image recognition opening relationships, it is characterised in that different clients obtains figure to same object
Picture, by image recognition comparison is set up the relation between client, the image of object is i.e. reserved image and is saved in server
In, comprise the steps:
(1) client 1 sets up the reserved image of identity id1, id1 association；
(2) client 2 sets up identity id2, and client 2 obtains the target image 2 of object；
(3) client 2 uploads target image 2 to server；
(4) server storage target image 2；
(5) target image 2 and reserved image compare, and i.e. identify judgement, if identifying and being judged as N, i.e. and target image 2 and reserved figure
As different, then opening relationships failure, if it is determined that Y, then id1 and id2 opening relationships, informs id2 and id1 opening relationships simultaneously
Success, informs id1 and id2 opening relationships success.
A kind of method based on image recognition opening relationships the most according to claim 6, is further characterized in that, object
Reserved image is entity 3D rendering, described entity 3D rendering comprise to object all towards photo, i.e. all courts of object
To the set of photo；Meanwhile, the difference in step (5) target image 2 and entity 3D rendering towards photo be identified comparison,
I.e. identify judgement.
8., according to a kind of based on image recognition opening relationships the method described in claim 6 or 7, it is further characterized in that, target
The reserved image of thing also including, geographical location information, step (2) client 2 obtain in the target image 2 of object also include
Geographical location information 2；Meanwhile, step (5) also includes that geographical position range judges, sets if meeting geographical position range, mesh
Logo image 2 and reserved image are identified comparison, i.e. identify judgement.
A kind of method based on image recognition opening relationships the most according to claim 8, is further characterized in that, arbitrary client
End id can add markup information on reserved image, and markup information is preserved by markup information data base, and described markup information is folded
It is added on reserved image display.
10. a system based on image recognition opening relationships, is characterized in that:
Client, including photographic head, for the image of photographic subjects thing, forms target image；
Server, receives unit, destination image data storehouse, destination image data storehouse duplicate checking unit, image knowledge including target image
Other unit.
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| CN201911403151.0A CN111211968A (en) | 2016-07-18 | 2016-07-18 | Method and system for establishing relationship based on image recognition |
| CN201610564048.4A CN106130885A (en) | 2016-07-18 | 2016-07-18 | Method and system based on image recognition opening relationships |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107135079A (en) * | 2017-06-30 | 2017-09-05 | 上海策赢网络科技有限公司 | Electronic document verification method, equipment and system |
| CN107342866A (en) * | 2017-06-30 | 2017-11-10 | 上海策赢网络科技有限公司 | Electronic document verification method, equipment and system |
| CN107347008A (en) * | 2017-06-30 | 2017-11-14 | 上海策赢网络科技有限公司 | Electronic document verification method, equipment and system |
| CN107395358A (en) * | 2017-06-30 | 2017-11-24 | 上海策赢网络科技有限公司 | Information request and offer method and apparatus, storage medium and equipment |
| CN107608713A (en) * | 2017-08-22 | 2018-01-19 | 维沃移动通信有限公司 | A kind of application program transfer method and mobile terminal |
| CN107979418A (en) * | 2017-11-22 | 2018-05-01 | 吴东辉 | Determine that its client corresponds to the AR method and systems of id based on mobile phone flashlight |
| CN109510752A (en) * | 2017-09-15 | 2019-03-22 | 阿里巴巴集团控股有限公司 | Information displaying method and device |
| CN109600238A (en) * | 2017-09-28 | 2019-04-09 | 金德奎 | The exchange method and its social contact method and business method of a kind of user group based on recognition of face |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113448471B (en) * | 2021-07-12 | 2023-04-25 | 杭州海康威视数字技术股份有限公司 | Image display method, device and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521621A (en) * | 2011-12-16 | 2012-06-27 | 上海合合信息科技发展有限公司 | Method for acquiring information based on image coupling and geographical position information and system thereof |
| CN103248555A (en) * | 2012-02-08 | 2013-08-14 | 腾讯科技（深圳）有限公司 | Method and device for adding friends |
| CN103490991A (en) * | 2012-12-05 | 2014-01-01 | 腾讯科技（深圳）有限公司 | Method and device for joining group through format pattern |
| CN104572732A (en) * | 2013-10-22 | 2015-04-29 | 腾讯科技（深圳）有限公司 | Method and device for inquiring user identification and method and device for acquiring user identification |
| CN104811310A (en) * | 2015-03-30 | 2015-07-29 | 赵宇翔 | Display method and wearing device |
-
2016
- 2016-07-18 CN CN201610564048.4A patent/CN106130885A/en active Pending
- 2016-07-18 CN CN201911403151.0A patent/CN111211968A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521621A (en) * | 2011-12-16 | 2012-06-27 | 上海合合信息科技发展有限公司 | Method for acquiring information based on image coupling and geographical position information and system thereof |
| CN103248555A (en) * | 2012-02-08 | 2013-08-14 | 腾讯科技（深圳）有限公司 | Method and device for adding friends |
| CN103490991A (en) * | 2012-12-05 | 2014-01-01 | 腾讯科技（深圳）有限公司 | Method and device for joining group through format pattern |
| CN104572732A (en) * | 2013-10-22 | 2015-04-29 | 腾讯科技（深圳）有限公司 | Method and device for inquiring user identification and method and device for acquiring user identification |
| CN104811310A (en) * | 2015-03-30 | 2015-07-29 | 赵宇翔 | Display method and wearing device |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107135079A (en) * | 2017-06-30 | 2017-09-05 | 上海策赢网络科技有限公司 | Electronic document verification method, equipment and system |
| CN107342866A (en) * | 2017-06-30 | 2017-11-10 | 上海策赢网络科技有限公司 | Electronic document verification method, equipment and system |
| CN107347008A (en) * | 2017-06-30 | 2017-11-14 | 上海策赢网络科技有限公司 | Electronic document verification method, equipment and system |
| CN107395358A (en) * | 2017-06-30 | 2017-11-24 | 上海策赢网络科技有限公司 | Information request and offer method and apparatus, storage medium and equipment |
| CN107608713A (en) * | 2017-08-22 | 2018-01-19 | 维沃移动通信有限公司 | A kind of application program transfer method and mobile terminal |
| CN109510752A (en) * | 2017-09-15 | 2019-03-22 | 阿里巴巴集团控股有限公司 | Information displaying method and device |
| CN109510752B (en) * | 2017-09-15 | 2021-11-02 | 阿里巴巴集团控股有限公司 | Information display method and device |
| CN109600238A (en) * | 2017-09-28 | 2019-04-09 | 金德奎 | The exchange method and its social contact method and business method of a kind of user group based on recognition of face |
| CN109600238B (en) * | 2017-09-28 | 2024-06-04 | 深圳脸网科技有限公司 | User group interaction method based on face recognition |
| CN107979418A (en) * | 2017-11-22 | 2018-05-01 | 吴东辉 | Determine that its client corresponds to the AR method and systems of id based on mobile phone flashlight |
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|---|---|
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Application publication date: 20161116 |