CN105653623A - Picture collecting method and device - Google Patents
Picture collecting method and device Download PDFInfo
- Publication number
- CN105653623A CN105653623A CN201510994320.8A CN201510994320A CN105653623A CN 105653623 A CN105653623 A CN 105653623A CN 201510994320 A CN201510994320 A CN 201510994320A CN 105653623 A CN105653623 A CN 105653623A
- Authority
- CN
- China
- Prior art keywords
- picture
- user
- target photo
- face
- image data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention relates to a picture collection method and device, and belongs to the technical field of networks. The method comprises the following steps: receiving a picture obtaining request of a user, wherein the picture obtaining request at least comprises identity information and head portrait data of the user; searching a target picture matched with the head portrait data in pictures in a preset range; and sending the target picture to the user according to the identity information. According to the method and device, the aims of automatically carrying out picture selection according to the head portrait data and automatically sending selected pictures to the users on the basis of the identity information are realized, and the users do not need to manually select and send pictures, so that the workload of the users is greatly decreased, the intelligence is relatively good, the operation is more convenient and rapid, and the picture collection speed is improved.
Description
Technical field
It relates to network technology field, in particular to a kind of picture collection method and device.
Background technology
Along with the continuous progress of science and technology, the camera function that the intelligent terminals such as mobile phone provide is more and more powerful. Such as, smart mobile phone camera take pictures pixel from 2,500,000 pixels before, that 5,000,000 pixels are progressively promoted to 1,300 ten thousand pixels is even higher. Therefore, utilize smart mobile phone can meet the demand of taking pictures that user travels outdoors or daily occasion is basic well.
When everybody gets together, take pictures for the other side mutually and become a kind of normality. Like this, user A, when collecting the picture having about oneself, also needs to allow the user B taken pictures for oneself manually transmit picture to oneself. And user B is when looking for the picture that user A takes, often need manually to search one by one in numerous pictures taken.
Summary of the invention
For overcoming Problems existing in correlation technique, the disclosure provides a kind of picture collection method and device.
First aspect according to disclosure embodiment, it is provided that a kind of picture collection method, described method comprises:
The picture receiving user obtains request, and described picture obtains the identification information and the head image data that at least comprise described user in request;
In the picture of preset range, search and the Target Photo that described head image data is mated;
According to described identification information, described Target Photo is sent to described user.
In another embodiment, described in the picture of preset range, search and the Target Photo that described head image data is mated, comprising:
Obtain the picture searching condition that this end subscriber is arranged;
Based on described picture searching condition, the picture of described preset range filters out candidate's picture;
In described candidate's picture, search and the Target Photo that described head image data is mated.
In another embodiment, described in described candidate's picture, search and the Target Photo that described head image data is mated, comprising:
Described head image data is carried out recognition of face, obtains the first face characteristic;
For each face picture in described candidate's picture, described face picture is carried out recognition of face, obtain the 2nd face characteristic data;
If described first face characteristic and described 2nd face characteristic Data Matching, then by the Target Photo that described face picture is defined as with described head image data is mated.
In another embodiment, described according to described identification information, described Target Photo is sent to described user, comprising:
If described identification information is described user log in cloud storage server use account information, then according to described account information, described Target Photo is sent in storage address corresponding with described account information on described cloud storage server; Or,
The social ID applying use is logged in if described identification information is described user, then described Target Photo is sent to social application server, by described social application server according to described ID, described Target Photo is sent to the terminal of described user.
In another embodiment, at least one item whether described picture searching condition comprises shooting time and comprise in face.
Second aspect according to disclosure embodiment, it is provided that a kind of picture collection device, described device comprises:
Receiver module, the picture being configured to receive user obtains request, and described picture obtains the identification information and the head image data that at least comprise described user in request;
Search module, it is configured in the picture of preset range, search and the Target Photo that described head image data is mated;
Sending module, is configured to, according to described identification information, described Target Photo is sent to described user.
In another embodiment, described in search module, be configured to obtain the picture searching condition that this end subscriber is arranged; Based on described picture searching condition, the picture of described preset range filters out candidate's picture; In described candidate's picture, search and the Target Photo that described head image data is mated.
In another embodiment, described in search module, be configured to described head image data is carried out recognition of face, obtain the first face characteristic; For each face picture in described candidate's picture, described face picture is carried out recognition of face, obtain the 2nd face characteristic data; If described first face characteristic and described 2nd face characteristic Data Matching, then by the Target Photo that described face picture is defined as with described head image data is mated.
In another embodiment, described sending module, if being configured to described identification information is the account information that described user logs in the use of cloud storage server, then according to described account information, described Target Photo is sent in storage address corresponding with described account information on described cloud storage server; Or, the social ID applying use is logged in if described identification information is described user, then described Target Photo is sent to social application server, by described social application server according to described ID, described Target Photo is sent to the terminal of described user.
In another embodiment, at least one item whether described picture searching condition comprises shooting time and comprise in face.
The third aspect according to disclosure embodiment, it is provided that a kind of picture collection device, comprising:
Treater;
The storer of instruction can be performed for storage of processor;
Wherein, described treater is configured to: the picture receiving user obtains request, and described picture obtains the identification information and the head image data that at least comprise described user in request; In the picture of preset range, search and the Target Photo that described head image data is mated; According to described identification information, described Target Photo is sent to described user.
The technical scheme that embodiment of the present disclosure provides can comprise following useful effect:
After receiving the picture acquisition request comprising identification information and head image data that user sends, automatically in the picture of preset range, search the picture mated with this head image data, and according to this identification information, this picture is sent to user, therefore achieve and automatically carry out picture according to head image data and choose, and identity-based identification information sends the object of the picture picked out from trend user, manually select picture without the need to this end subscriber and manually carry out picture transmission, greatly reduce the workload of this end subscriber, better intelligent, more convenient and quick, accelerate the speed that picture obtains.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing herein is by being incorporated in specification sheets and forms the part of this specification sheets, shows embodiment according to the invention, and is used from the principle explaining the present invention with specification sheets one.
Fig. 1 is the schema of a kind of picture collection method according to an exemplary embodiment.
Fig. 2 is the schema of a kind of picture collection method according to an exemplary embodiment.
Fig. 3 is the block diagram of a kind of picture collection device according to an exemplary embodiment.
Fig. 4 is the block diagram of a kind of picture collection device according to an exemplary embodiment.
Embodiment
Here exemplary embodiment being described in detail, its example representation is in the accompanying drawings. When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or similar key element. Enforcement mode described in exemplary embodiment does not represent all enforcement modes consistent with the present invention below. On the contrary, they only with as in appended claims describe in detail, the example of device that some aspects of the present invention are consistent and method.
Fig. 1 is the schema of a kind of picture collection method according to an exemplary embodiment, and as shown in Figure 1, the method is used in terminal, comprises the following steps.
In a step 101, the picture receiving user obtains request, and this picture obtains the identification information and the head image data that at least comprise this user in request.
In a step 102, in the picture of preset range, search the Target Photo mated with this head image data.
In step 103, according to this identification information, this Target Photo is sent to this user.
The method that disclosure embodiment provides, after receiving the picture acquisition request comprising identification information and head image data that user sends, automatically in the picture of preset range, search the picture mated with this head image data, and according to this identification information, this picture is sent to user, therefore achieve and automatically carry out picture according to head image data and choose, and identity-based identification information sends the object of the picture picked out from trend user, manually select picture without the need to this end subscriber and manually carry out picture transmission, greatly reduce the workload of this end subscriber, better intelligent, more convenient and quick, accelerate the speed that picture obtains.
In another embodiment, in the picture of preset range, search the Target Photo mated with head image data, comprising:
Obtain the picture searching condition that this end subscriber is arranged;
Based on picture searching condition, the picture of preset range filters out candidate's picture;
In candidate's picture, search the Target Photo mated with head image data.
In another embodiment, in candidate's picture, search the Target Photo mated with head image data, comprising:
Head image data is carried out recognition of face, obtains the first face characteristic;
For each face picture in candidate's picture, face picture is carried out recognition of face, obtain the 2nd face characteristic data;
If the first face characteristic and the 2nd face characteristic Data Matching, then face picture is defined as the Target Photo mated with head image data.
In another embodiment, according to identification information, Target Photo is sent to user, comprising:
If identification information is user log in cloud storage server use account information, then according to account information, Target Photo is sent in storage address corresponding with account information on cloud storage server;Or,
Log in the social ID applying use if identification information is user, then Target Photo is sent to social application server, by social application server according to ID, Target Photo is sent to the terminal of user.
In another embodiment, at least one item whether picture searching condition comprises shooting time and comprise in face.
Above-mentioned all optional technical schemes, it is possible to adopting and combine arbitrarily formation optional embodiment of the present disclosure, this is no longer going to repeat them.
Fig. 2 is the schema of a kind of picture collection method according to an exemplary embodiment, and for mutual main body as terminal A and terminal B, wherein terminal A is the terminal that user A uses, and terminal B is the terminal that user B uses, and as shown in Figure 2, comprises the following steps.
In step 201, terminal A, after detecting that the picture acquisition of user A operates, sends picture to user B and obtains request.
Wherein, if the terminal B of the terminal A of user A and user B all installed same social activity application, and user B be user A good friend, namely user B is positioned on the customer relationship chain of user A, then user A by this social activity application and user B carry out interacting message. In the disclosed embodiments, user A is after arousing and carrying out the interacting message page that communicates with user B, except display message input frame and message send except button on this interacting message page, also can additionally be provided with a picture and obtain option, for asking for its picture for oneself shooting to user B.
Terminal A is detecting that user A is obtained option and triggers after picture acquisition operates by this picture, and further prompting user A selects one or now take a picture comprising self head image data in the picture of local preset range. After user A have selected head image data, terminal A generates picture based on the identification information of this head image data and user A and obtains request, and sends this picture to user B and obtain request. Wherein, whole pictures that the picture of preset range can be in whole pictures of local storage, local part folder the picture stored, picture that user B is stored in cloud storage server corresponding stored address or is stored in this locality and cloud storage server corresponding stored address, this is not specifically limited by disclosure embodiment.
Wherein, identification information can be the ID that user A logs in social application and uses, or the account information that user A login cloud storage server uses, and this is not specifically limited by disclosure embodiment. Terminal A, when sending the acquisition request of this picture to user B, realizes by social activity application, and this is not specifically limited by disclosure embodiment. Such as, the ID that this picture is first obtained request and user B by terminal A is sent to social application server, and social application server is after receiving above-mentioned data, according to the terminal B that this picture acquisition request forward is used by the ID of user B to user B.
In step 202., the terminal B that user B uses, after receiving the picture acquisition request that terminal A sends, obtains the picture searching condition that this end subscriber is arranged, based on picture searching condition, filters out candidate's picture in the picture of preset range.
For user B, its use terminal B on or its picture that might have stored magnanimity in cloud storage server corresponding stored address, and no matter user B may be all limited on the time length or in quantity to the picture that user A takes, the speed looking for the picture that user A takes in order to accelerate terminal B, the disclosure embodiment still provides the step arranging picture searching condition.
Specifically, receiving after this picture obtains request at terminal B, terminal B can eject such as the prompt options of " whether arranging picture searching condition ", and this prompt options comprises "Yes" and "No" two can click option; If detecting, user B is to the clicking operation of "Yes" option, then show picture searching condition. Wherein, picture searching condition at least comprises " searching according to shooting time " and " whether comprising face " two. Further, shooting time option can comprise a nearest week, nearest one month, select for user B to sub-options such as the * * * days month * * * * day month *; Whether comprising face option to be divided into and comprise face and do not comprise people's face option, this is not specifically limited by disclosure embodiment.
If the picture searching condition that user B is arranged is for search according to shooting time, and restriction time range is a nearest week, then terminal B is automatically in the whole pictures with the storage of cloud storage server corresponding stored address of this locality storage, search the picture of shooting of the nearest week, and the picture alternatively picture that will go out based on this picture searching conditional filtering. If the picture searching condition that user B is arranged is for comprising face, then terminal B is automatically in the whole pictures with the storage of cloud storage server corresponding stored address of this locality storage, search the picture comprising face, and the face picture alternatively picture that will go out based on this picture searching conditional filtering.
In step 203, terminal B, in candidate's picture, searches the Target Photo mated with this head image data.
In the disclosed embodiments, when terminal B searches Target Photo in candidate's picture, realized by face recognition technology, specific as follows:
Head image data is carried out recognition of face, obtains the first face characteristic; For each face picture in candidate's picture, this face picture is carried out recognition of face, obtain the 2nd face characteristic data; If the first face characteristic and the 2nd face characteristic Data Matching, then this face picture is defined as the Target Photo mated with this head image data.
Wherein, the steps such as Face datection, Image semantic classification and face characteristic data extraction can be subdivided into when picture is carried out recognition of face. For Face datection process, it is mainly used in accurately calibrating in the picture position and the size of face. Pattern feature owing to comprising in facial image is very abundant, such as histogram feature, color characteristic, template characteristic, constitutional features etc., so Face datection process extracts by this wherein useful information. For Image semantic classification process, mainly based on Face datection result, carry out image processing and finally serve the process that characteristic is extracted. Original image, owing to being subject to restriction and the random disturbance of various condition, often can not directly use, it is necessary at the commitment of image procossing, it carries out the Image semantic classification such as gray scale correction, noise filtration. For facial image, its preprocessing process mainly comprises the light compensation of facial image, grey level transformation, histogram equalization, normalization method, geometry correction, filtering and sharpening etc.
Face characteristic data are divided into visual signature, pixels statistics feature, facial image transformation coeffcient feature, facial image algebraic characteristic etc. usually. It is that some feature for face carries out that face characteristic data are extracted. It is the process that face carries out feature modeling in essence that face characteristic extracts. The method that face characteristic extracts is summed up and is divided into two big classes: one is Knowledge based engineering characterizing method; Another is the characterizing method based on algebraic characteristic or statistical learning. Detailed leaching process with reference to prior art, no longer can repeat herein.
For a face picture in candidate's picture, after obtaining the 2nd face characteristic data of this face picture, it is mated with the first face characteristic;If similarity therebetween exceedes predetermined threshold value, then this face picture is defined as the Target Photo mated with this head image data. Wherein, predetermined threshold value can be 95% or 97% etc., and this is not specifically limited by disclosure embodiment.
In step 204, this Target Photo, according to this identification information, is sent to user A by terminal B.
In the disclosed embodiments, according to the difference of identification information, the mode that this Target Photo is sent to user A also has difference, includes but not limited to following two kinds of modes:
If first kind of way identification information is the account information that user A logs in the use of cloud storage server, then according to this account information, Target Photo is sent in storage address corresponding with this account information on cloud storage server.
For first kind of way, Target Photo is sent to cloud storage server by terminal B. Specifically, it is in storage address that on cloud storage server, this account information is corresponding. For this kind of mode, terminal B can return one to user A and send information, in order to point out user's A picture to be successfully sent in storage address corresponding to cloud storage server. In subsequent process, user A uses this account information to log in cloud storage server just can get the picture that user B is oneself shooting.
If the 2nd kind of mode identification information is the ID that user A logs in social application use, then Target Photo is sent to social application server, by social application server according to this ID, Target Photo is sent to the terminal of user.
For the 2nd kind of mode, based on the transmission of social application server realizing picture. Target Photo is sent to social application server by social activity application by terminal B, forwards Target Photo to user A again according to the ID of user A by social application server. Such terminal A is applied by social activity and just have received the picture that user B is oneself shooting.
The method that disclosure embodiment provides, after receiving the picture acquisition request comprising identification information and head image data that user sends, obtain the picture searching condition that this end subscriber is arranged, and automatically according to picture searching condition, the picture of preset range is searched the picture mated with this head image data, and according to this identification information, this picture is sent to user, therefore achieve and automatically carry out picture according to head image data and choose, and identity-based identification information sends the object of the picture picked out from trend user, manually select picture without the need to this end subscriber and manually carry out picture transmission, greatly reduce the workload of this end subscriber, better intelligent, more convenient and quick, accelerate the speed that picture obtains.
Fig. 3 is the block diagram of a kind of picture collection device according to an exemplary embodiment. With reference to Fig. 3, this device comprises receiver module 301, searches module 302 and sending module 303.
Receiver module 301, the picture being configured to receive user obtains request, and described picture obtains the identification information and the head image data that at least comprise described user in request;
Search module 302, it is configured in the picture of preset range, search and the Target Photo that described head image data is mated;
Sending module 303, is configured to, according to described identification information, described Target Photo is sent to described user.
In another embodiment, described in search module, be configured to obtain the picture searching condition that this end subscriber is arranged; Based on described picture searching condition, the picture of described preset range filters out candidate's picture; In described candidate's picture, search and the Target Photo that described head image data is mated.
In another embodiment, described in search module, be configured to described head image data is carried out recognition of face, obtain the first face characteristic;For each face picture in described candidate's picture, described face picture is carried out recognition of face, obtain the 2nd face characteristic data; If described first face characteristic and described 2nd face characteristic Data Matching, then by the Target Photo that described face picture is defined as with described head image data is mated.
In another embodiment, described sending module, if being configured to described identification information is the account information that described user logs in the use of cloud storage server, then according to described account information, described Target Photo is sent in storage address corresponding with described account information on described cloud storage server; Or, the social ID applying use is logged in if described identification information is described user, then described Target Photo is sent to social application server, by described social application server according to described ID, described Target Photo is sent to the terminal of described user.
In another embodiment, at least one item whether described picture searching condition comprises shooting time and comprise in face.
The device that disclosure embodiment provides, after receiving the picture acquisition request comprising identification information and head image data that user sends, obtain the picture searching condition that this end subscriber is arranged, and automatically according to picture searching condition, the picture of preset range is searched the picture mated with this head image data, and according to this identification information, this picture is sent to user, therefore achieve and automatically carry out picture according to head image data and choose, and identity-based identification information sends the object of the picture picked out from trend user, manually select picture without the need to this end subscriber and manually carry out picture transmission, greatly reduce the workload of this end subscriber, better intelligent, more convenient and quick, accelerate the speed that picture obtains.
About the device in above-described embodiment, wherein the concrete mode of each module executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
Fig. 4 is the block diagram of a kind of picture collection device 400 according to an exemplary embodiment. Such as, device 400 can be mobile telephone, computer, digital broadcast terminal, messaging devices, game console, tablet device, medical facilities, body-building equipment, personal digital assistant etc.
With reference to Fig. 4, device 400 can comprise following one or more assembly: processing components 402, storer 404, power supply module 406, multimedia groupware 408, audio-frequency assembly 410, I/O (Input/Output, I/O) interface 412, sensor module 414, and communications component 416.
The overall operation of the usual control device 400 of processing components 402, such as with display, the operation that telephone call, data corresponding, camera operation and recording operation are associated. Processing components 402 can comprise one or more treater 420 to perform instruction, to complete all or part of step of above-mentioned method. In addition, processing components 402 can comprise one or more module, and what be convenient between processing components 402 and other assemblies is mutual. Such as, processing components 402 can comprise multi-media module, mutual with what facilitate between multimedia groupware 408 and processing components 402.
Storer 404 is configured to store various types of data to be supported in the operation of device 400. the example of these data comprises for any application program of operation on device 400 or the instruction of method, contact data, telephone book data, message, picture, video etc. storer 404 can be realized by the volatibility of any type or non-volatile memory device or their combination, such as SRAM (StaticRandomAccessMemory, static RAM), EEPROM (Electrically-ErasableProgrammableRead-OnlyMemory, electrically erasable read-only storage), EPROM (ErasableProgrammableReadOnlyMemory, erasable programmable read-only storage), PROM (ProgrammableRead-OnlyMemory, programmable read only memory), ROM (Read-OnlyMemory, read-only storage), magneticstorage, flash device, disk or CD.
The various assembly that power supply module 406 is device 400 provides electric power. Power supply module 406 can comprise power-supply management system, one or more power supply, and other generate, manage and distribute, with for device 400, the assembly that electric power is associated.
The screen that an output interface is provided that multimedia groupware 408 is included between described device 400 and user. In certain embodiments, screen can comprise LCD (LiquidCrystalDisplay, liquid-crystal display) and TP (TouchPanel, touch panel). If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user. Touch panel comprises one or more touch sensing device with the gesture on sensing touch, slip and touch panel. Described touch sensing device can the border of not only sensing touch or sliding action, but also the detection time length relevant to described touch or slide and pressure. In certain embodiments, multimedia groupware 408 comprises a front-facing camera and/or rearmounted camera. When device 400 is in operator scheme, during such as screening-mode or video pattern, front-facing camera and/or rearmounted camera can receive outside multi-medium data. Each front-facing camera and rearmounted camera can be a fixing optical lens system or have focal length and optical zoom ability.
Audio-frequency assembly 410 is configured to export and/or input audio signal. Such as, audio-frequency assembly 410 comprises a MIC (Microphone, microphone), and when device 400 is in operator scheme, during such as calling pattern, record pattern and speech recognition pattern, microphone is configured to receive external audio signal. The sound signal received can be stored in storer 404 further or be sent via communications component 416. In certain embodiments, audio-frequency assembly 410 also comprises a loud speaker, for output audio signal.
I/O interface 412 is for providing interface between processing components 402 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc. These buttons can include but not limited to: home button, volume button, startup button and locking button.
Sensor module 414 comprises one or more sensor, for providing the state estimation of all respects for device 400. Such as, sensor module 414 can detect the opening/closing state of equipment 400, the relative location of assembly, such as assembly is indicating meter and the keypad of device 400, the position that sensor module 414 can also detect device 400 or device 400 1 assemblies changes, the presence or absence that user contacts with device 400, the temperature variation of device 400 orientation or acceleration/deceleration and device 400. Sensor module 414 can comprise close to sensor, be configured to without any physical contact time detection near the existence of object. Sensor module 414 can also comprise optical sensor, such as CMOS (ComplementaryMetalOxideSemiconductor, CMOS) or CCD (Charge-coupledDevice, charge coupled cell) image sensor, for using in imaging applications. In certain embodiments, this sensor module 414 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transmitter or temperature sensor.
Communications component 416 is configured to be convenient to the communication of wired or wireless mode between device 400 and other equipment. Device 400 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or their combination.In an exemplary embodiment, communications component 416 receives the broadcast signal from outside broadcasting management systems or broadcast related information via broadcast channel. In an exemplary embodiment, described communications component 416 also comprises NFC (NearFieldCommunication, near-field communication) module, to promote short distance communication. Such as, can based on RFID (RadioFrequencyIdentification in NFC module, RF identification) technology, IrDA (Infra-redDataAssociation, Infrared Data Association) technology, UWB (UltraWideband, ultra broadband) technology, BT (Bluetooth, bluetooth) technology and other technologies realize.
In the exemplary embodiment, device 400 can by one or more ASIC (ApplicationSpecificIntegratedCircuit, application specific unicircuit), DSP (DigitalsignalProcessor, digital signal processor), DSPD (DigitalsignalProcessorDevice, digital signal processing appts), PLD (ProgrammableLogicDevice, programmable logic device part), FPGA) (FieldProgrammableGateArray, field-programmable gate array), controller, microcontroller, microprocessor or other electronic components realize, for performing aforesaid method.
In the exemplary embodiment, additionally providing a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 404 of instruction, above-mentioned instruction can perform aforesaid method by the treater 420 of device 400. Such as, described non-transitory computer-readable recording medium can be ROM, RAM (RandomAccessMemory, random access memory), CD-ROM (CompactDiscRead-OnlyMemory, cd-rom), tape, floppy disk and optical data storage equipment etc.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage media is performed by the treater of mobile terminal so that mobile terminal can perform a kind of picture collection method, and method comprises:
The picture receiving user obtains request, and picture obtains the identification information and the head image data that at least comprise user in request;
In the picture of preset range, search the Target Photo mated with head image data;
According to identification information, Target Photo is sent to user.
In another embodiment, in the picture of preset range, search the Target Photo mated with head image data, comprising:
Obtain the picture searching condition that this end subscriber is arranged;
Based on picture searching condition, the picture of preset range filters out candidate's picture;
In candidate's picture, search the Target Photo mated with head image data.
In another embodiment, in candidate's picture, search the Target Photo mated with head image data, comprising:
Head image data is carried out recognition of face, obtains the first face characteristic;
For each face picture in candidate's picture, face picture is carried out recognition of face, obtain the 2nd face characteristic data;
If the first face characteristic and the 2nd face characteristic Data Matching, then face picture is defined as the Target Photo mated with head image data.
In another embodiment, according to identification information, Target Photo is sent to user, comprising:
If identification information is user log in cloud storage server use account information, then according to account information, Target Photo is sent in storage address corresponding with account information on cloud storage server;Or,
Log in the social ID applying use if identification information is user, then Target Photo is sent to social application server, by social application server according to ID, Target Photo is sent to the terminal of user.
In another embodiment, at least one item whether picture searching condition comprises shooting time and comprise in face.
The non-transitory computer-readable recording medium that disclosure embodiment provides, after receiving the picture acquisition request comprising identification information and head image data that user sends, obtain the picture searching condition that this end subscriber is arranged, and automatically according to picture searching condition, the picture of preset range is searched the picture mated with this head image data, and according to this identification information, this picture is sent to user, therefore achieve and automatically carry out picture according to head image data and choose, and identity-based identification information sends the object of the picture picked out from trend user, manually select picture without the need to this end subscriber and manually carry out picture transmission, greatly reduce the workload of this end subscriber, better intelligent, more convenient and quick, accelerate the speed that picture obtains.
Those skilled in the art, after considering specification sheets and putting into practice invention disclosed herein, will easily expect other embodiment of the present invention. The application is intended to contain any modification of the present invention, purposes or adaptations, and these modification, purposes or adaptations are followed the general principle of the present invention and comprised the unexposed common practise in the art of the disclosure or conventional techniques means. Specification sheets and embodiment are only regarded as exemplary, and the true scope of the present invention and spirit are pointed out by claim below.
Should be understood that, the present invention is not limited to accurate structure described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope. The scope of the present invention is only limited by appended claim.
Claims (11)
1. a picture collection method, it is characterised in that, described method comprises:
The picture receiving user obtains request, and described picture obtains the identification information and the head image data that at least comprise described user in request;
In the picture of preset range, search and the Target Photo that described head image data is mated;
According to described identification information, described Target Photo is sent to described user.
2. method according to claim 1, it is characterised in that, described in the picture of preset range, search and the Target Photo that described head image data is mated, comprising:
Obtain the picture searching condition that this end subscriber is arranged;
Based on described picture searching condition, the picture of described preset range filters out candidate's picture;
In described candidate's picture, search and the Target Photo that described head image data is mated.
3. method according to claim 2, it is characterised in that, described in described candidate's picture, search and the Target Photo that described head image data is mated, comprising:
Described head image data is carried out recognition of face, obtains the first face characteristic;
For each face picture in described candidate's picture, described face picture is carried out recognition of face, obtain the 2nd face characteristic data;
If described first face characteristic and described 2nd face characteristic Data Matching, then by the Target Photo that described face picture is defined as with described head image data is mated.
4. method according to claim 1, it is characterised in that, described according to described identification information, described Target Photo is sent to described user, comprising:
If described identification information is described user log in cloud storage server use account information, then according to described account information, described Target Photo is sent in storage address corresponding with described account information on described cloud storage server;Or,
The social ID applying use is logged in if described identification information is described user, then described Target Photo is sent to social application server, by described social application server according to described ID, described Target Photo is sent to the terminal of described user.
5. according to method described in any claim in Claims 1-4, it is characterised in that, at least one item whether described picture searching condition comprises shooting time and comprise in face.
6. a picture collection device, it is characterised in that, described device comprises:
Receiver module, the picture being configured to receive user obtains request, and described picture obtains the identification information and the head image data that at least comprise described user in request;
Search module, it is configured in the picture of preset range, search and the Target Photo that described head image data is mated;
Sending module, is configured to, according to described identification information, described Target Photo is sent to described user.
7. device according to claim 6, it is characterised in that, described in search module, be configured to obtain the picture searching condition that this end subscriber is arranged; Based on described picture searching condition, the picture of described preset range filters out candidate's picture; In described candidate's picture, search and the Target Photo that described head image data is mated.
8. device according to claim 7, it is characterised in that, described in search module, be configured to described head image data is carried out recognition of face, obtain the first face characteristic; For each face picture in described candidate's picture, described face picture is carried out recognition of face, obtain the 2nd face characteristic data; If described first face characteristic and described 2nd face characteristic Data Matching, then by the Target Photo that described face picture is defined as with described head image data is mated.
9. device according to claim 6, it is characterized in that, described sending module, if being configured to described identification information is the account information that described user logs in the use of cloud storage server, then according to described account information, described Target Photo is sent in storage address corresponding with described account information on described cloud storage server; Or, the social ID applying use is logged in if described identification information is described user, then described Target Photo is sent to social application server, by described social application server according to described ID, described Target Photo is sent to the terminal of described user.
10. according to device described in any claim in claim 6 to 9, it is characterised in that, at least one item whether described picture searching condition comprises shooting time and comprise in face.
11. 1 kinds of picture collection devices, it is characterised in that, comprising:
Treater;
The storer of instruction can be performed for storage of processor;
Wherein, described treater is configured to: the picture receiving user obtains request, and described picture obtains the identification information and the head image data that at least comprise described user in request; In the picture of preset range, search and the Target Photo that described head image data is mated; According to described identification information, described Target Photo is sent to described user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510994320.8A CN105653623B (en) | 2015-12-25 | 2015-12-25 | Picture collection method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510994320.8A CN105653623B (en) | 2015-12-25 | 2015-12-25 | Picture collection method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105653623A true CN105653623A (en) | 2016-06-08 |
| CN105653623B CN105653623B (en) | 2020-03-17 |
Family
ID=56476941
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510994320.8A Active CN105653623B (en) | 2015-12-25 | 2015-12-25 | Picture collection method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105653623B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107844551A (en) * | 2017-10-30 | 2018-03-27 | 深圳市天地网电子有限公司 | A kind of image acquiring method and system based on shared camera |
| CN110535754A (en) * | 2019-08-29 | 2019-12-03 | 维沃移动通信有限公司 | Images share method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102819726A (en) * | 2012-06-27 | 2012-12-12 | 宇龙计算机通信科技(深圳)有限公司 | System and method for processing photograph of mobile terminal |
| 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 |
| CN103793498A (en) * | 2014-01-22 | 2014-05-14 | 百度在线网络技术（北京）有限公司 | Picture searching method and device and searching engine |
| CN103945001A (en) * | 2014-05-05 | 2014-07-23 | 百度在线网络技术（北京）有限公司 | Picture sharing method and device |
| US20140294254A1 (en) * | 2013-04-01 | 2014-10-02 | Samsung Electronics Co., Ltd. | Display apparatus for performing user certification and method thereof |
| CN105025162A (en) * | 2015-06-16 | 2015-11-04 | 惠州Tcl移动通信有限公司 | Automatic photo sharing method, mobile terminals and system |
-
2015
- 2015-12-25 CN CN201510994320.8A patent/CN105653623B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102819726A (en) * | 2012-06-27 | 2012-12-12 | 宇龙计算机通信科技(深圳)有限公司 | System and method for processing photograph of mobile terminal |
| US20140294254A1 (en) * | 2013-04-01 | 2014-10-02 | Samsung Electronics Co., Ltd. | Display apparatus for performing user certification and method thereof |
| 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 |
| CN103793498A (en) * | 2014-01-22 | 2014-05-14 | 百度在线网络技术（北京）有限公司 | Picture searching method and device and searching engine |
| CN103945001A (en) * | 2014-05-05 | 2014-07-23 | 百度在线网络技术（北京）有限公司 | Picture sharing method and device |
| CN105025162A (en) * | 2015-06-16 | 2015-11-04 | 惠州Tcl移动通信有限公司 | Automatic photo sharing method, mobile terminals and system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107844551A (en) * | 2017-10-30 | 2018-03-27 | 深圳市天地网电子有限公司 | A kind of image acquiring method and system based on shared camera |
| CN110535754A (en) * | 2019-08-29 | 2019-12-03 | 维沃移动通信有限公司 | Images share method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105653623B (en) | 2020-03-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105095873B (en) | Photo be shared method, apparatus | |
| CN107025419B (en) | Fingerprint template inputting method and device | |
| CN104753766A (en) | Expression sending method and device | |
| CN104021350A (en) | Privacy-information hiding method and device | |
| CN104852966A (en) | Numerical value transfer method, terminal and cloud server | |
| CN106528709A (en) | Social information recommendation method and apparatus | |
| CN107193983A (en) | Image search method and device | |
| CN106331761A (en) | Live broadcast list display method and apparatuses | |
| CN104933170A (en) | Information exhibition method and device | |
| CN106250921A (en) | Image processing method and device | |
| CN105468767A (en) | Method and device for acquiring calling card information | |
| CN105184313A (en) | Classification model construction method and device | |
| CN107766820A (en) | Image classification method and device | |
| CN105139033A (en) | Classifier construction method and device and image processing method and device | |
| CN106295499A (en) | Age estimation method and device | |
| CN104463103A (en) | Image processing method and device | |
| CN106126632A (en) | Recommend method and device | |
| CN105100193A (en) | Cloud business card recommendation method and device | |
| CN105407201A (en) | Contact person information matching method and device, as well as terminal | |
| CN106453528A (en) | Method and device for pushing message | |
| CN107330391A (en) | Product information reminding method and device | |
| CN105203456A (en) | Plant species identification method and apparatus thereof | |
| CN114648796A (en) | User identification method, device, storage medium and electronic equipment | |
| CN106130873A (en) | Information processing method and device | |
| CN109145878B (en) | Image extraction method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |