CN105653623B - Picture collection method and device - Google Patents
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- CN105653623B CN105653623B CN201510994320.8A CN201510994320A CN105653623B CN 105653623 B CN105653623 B CN 105653623B CN 201510994320 A CN201510994320 A CN 201510994320A CN 105653623 B CN105653623 B CN 105653623B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
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- 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
Abstract
The disclosure relates to a picture collecting method and device, and belongs to the technical field of networks. The method comprises the following steps: receiving a picture acquisition request of a user, wherein the picture acquisition request at least comprises identity identification 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 identification information. The image selecting method and the image selecting device achieve the purpose of automatically selecting the image according to the head portrait data and automatically sending the selected image to the user based on the identity information, the user at the home terminal is not required to manually select the image and manually send the image, the workload of the user at the home terminal is greatly reduced, the intelligence is better, the convenience and the rapidness are achieved, and the image collecting speed is accelerated.
Description
Technical Field
The present disclosure relates to the field of network technologies, and in particular, to a method and an apparatus for collecting pictures.
Background
With the continuous progress of science and technology, the photographing function provided by intelligent terminals such as mobile phones is more and more powerful. For example, the picture taking pixels of the smartphone camera have been gradually increased from the previous 250 ten thousand pixels and 500 ten thousand pixels to 1300 ten thousand pixels or even higher. Therefore, the basic photographing requirement of the user for playing outdoors or gathering everyday can be well met by utilizing the smart phone.
When people gather together, it is a normal state that the people take pictures of each other. Thus, when the user a collects the pictures related to the user a, the user B who takes pictures for the user a needs to manually transmit the pictures to the user a. When searching for the picture taken by the user a, the user B often needs to manually search for a plurality of taken pictures one by one.
Disclosure of Invention
To overcome the problems in the related art, the present disclosure provides a picture collecting method and apparatus.
According to a first aspect of the embodiments of the present disclosure, there is provided a picture collecting method, the method including:
receiving a picture acquisition request of a user, wherein the picture acquisition request at least comprises identity identification 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 identification information.
In another embodiment, the searching for the target picture matching with the avatar data in the preset range of pictures includes:
acquiring a picture searching condition set by a home terminal user;
screening candidate pictures from the pictures in the preset range based on the picture searching condition;
and searching a target picture matched with the head portrait data in the candidate pictures.
In another embodiment, the finding, from among the candidate pictures, a target picture matching the avatar data includes:
performing face recognition on the head portrait data to obtain first face feature data;
for each face picture in the candidate pictures, carrying out face recognition on the face picture to obtain second face characteristic data;
and if the first face feature data is matched with the second face feature data, determining the face picture as a target picture matched with the head portrait data.
In another embodiment, the sending the target picture to the user according to the identification information includes:
if the identity identification information is account information used by the user for logging in a cloud storage server, sending the target picture to a storage address corresponding to the account information on the cloud storage server according to the account information; or the like, or, alternatively,
and if the identity identification information is a user identification used by the user for logging in the social application, sending the target picture to a social application server, and sending the target picture to a terminal of the user by the social application server according to the user identification.
In another embodiment, the picture search condition includes at least one of a photographing time and whether a human face is included.
According to a second aspect of the embodiments of the present disclosure, there is provided a picture collecting apparatus, the apparatus including:
the image acquisition module is configured to receive an image acquisition request of a user, wherein the image acquisition request at least comprises identity identification information and head portrait data of the user;
the searching module is configured to search a target picture matched with the head portrait data in pictures in a preset range;
and the sending module is configured to send the target picture to the user according to the identity identification information.
In another embodiment, the searching module is configured to obtain a picture searching condition set by a home terminal user; screening candidate pictures from the pictures in the preset range based on the picture searching condition; and searching a target picture matched with the head portrait data in the candidate pictures.
In another embodiment, the searching module is configured to perform face recognition on the head portrait data to obtain first face feature data; for each face picture in the candidate pictures, carrying out face recognition on the face picture to obtain second face characteristic data; and if the first face feature data is matched with the second face feature data, determining the face picture as a target picture matched with the head portrait data.
In another embodiment, the sending module is configured to send the target picture to a storage address corresponding to the account information on the cloud storage server according to the account information if the identification information is the account information used by the user for logging in the cloud storage server; or if the identity identification information is a user identification used by the user for logging in the social application, sending the target picture to a social application server, and sending the target picture to the terminal of the user by the social application server according to the user identification.
In another embodiment, the picture search condition includes at least one of a photographing time and whether a human face is included.
According to a third aspect of the embodiments of the present disclosure, there is provided a picture collecting apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to: receiving a picture acquisition request of a user, wherein the picture acquisition request at least comprises identity identification 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 identification information.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
after receiving a picture acquisition request which is sent by a user and comprises identification information and head portrait data, automatically searching pictures matched with the head portrait data in the pictures in a preset range, and sending the pictures to the user according to the identification information, so that the aims of automatically selecting the pictures according to the head portrait data and automatically sending the selected pictures to the user based on the identification information are fulfilled, the user at the home terminal is not required to manually select the pictures and manually send the pictures, the workload of the user at the home terminal is greatly reduced, the intelligence is better, the convenience and the rapidness are realized, and the speed of picture acquisition is accelerated.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a flow chart illustrating a picture collection method according to an exemplary embodiment.
FIG. 2 is a flow chart illustrating a picture collection method according to an exemplary embodiment.
FIG. 3 is a block diagram illustrating a picture collection device according to an exemplary embodiment.
FIG. 4 is a block diagram illustrating a picture collection device according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Fig. 1 is a flowchart illustrating a picture collection method according to an exemplary embodiment, which is used in a terminal, as shown in fig. 1, and includes the following steps.
In step 101, a picture obtaining request of a user is received, where the picture obtaining request at least includes identification information and avatar data of the user.
In step 102, a target picture matching the avatar data is searched for in a preset range of pictures.
In step 103, the target picture is sent to the user according to the identification information.
According to the method provided by the embodiment of the disclosure, after a picture acquisition request which is sent by a user and comprises the identification information and the head portrait data is received, the picture matched with the head portrait data is automatically searched in the picture in the preset range, and the picture is sent to the user according to the identification information, so that the purpose of automatically selecting the picture according to the head portrait data and automatically sending the selected picture to the user based on the identification information is realized, the user at the end does not need to manually select the picture and manually send the picture, the workload of the user at the end is greatly reduced, the intelligence is better, the convenience and the rapidness are realized, and the speed of obtaining the picture is increased.
In another embodiment, searching for a target picture matching with the avatar data in a preset range of pictures includes:
acquiring a picture searching condition set by a home terminal user;
screening candidate pictures from the pictures in a preset range based on the picture searching conditions;
and searching a target picture matched with the head portrait data in the candidate pictures.
In another embodiment, among the candidate pictures, finding a target picture matching the avatar data includes:
performing face recognition on the head portrait data to obtain first face characteristic data;
for each face picture in the candidate pictures, carrying out face recognition on the face picture to obtain second face characteristic data;
and if the first face feature data is matched with the second face feature data, determining the face picture as a target picture matched with the head portrait data.
In another embodiment, sending the target picture to the user according to the identification information includes:
if the identity identification information is account information used by the user for logging in the cloud storage server, sending the target picture to a storage address corresponding to the account information on the cloud storage server according to the account information; or the like, or, alternatively,
and if the identity identification information is a user identification used by the user for logging in the social application, sending the target picture to a social application server, and sending the target picture to a terminal of the user by the social application server according to the user identification.
In another embodiment, the picture search condition includes at least one of a photographing time and whether a human face is included.
All the above optional technical solutions may be combined arbitrarily to form the optional embodiments of the present disclosure, and are not described herein again.
Fig. 2 is a flowchart illustrating a picture collecting method according to an exemplary embodiment, taking an interactive subject as a terminal a and a terminal B as an example, where the terminal a is a terminal used by a user a and the terminal B is a terminal used by a user B, as shown in fig. 2, including the following steps.
In step 201, after detecting the picture acquisition operation of the user a, the terminal a sends a picture acquisition request to the user B.
If the terminal a of the user a and the terminal B of the user B both install the same social application, and the user B is a friend of the user a, that is, the user B is located on the user relationship chain of the user a, the user a may perform message interaction with the user B through the social application. In the embodiment of the present disclosure, after the user a calls up the message interaction page communicating with the user B, the message interaction page may be additionally provided with a picture acquisition option for asking the user B for a picture taken by the user a in addition to displaying the message input box and the message sending key.
And after detecting that the user A triggers the picture acquisition operation through the picture acquisition option, the terminal A further prompts the user A to select one picture or shoot a picture including the head portrait data of the user A at present from the pictures in the local preset range. After the user A selects the head portrait data, the terminal A generates a picture acquisition request based on the head portrait data and the identity identification information of the user A, and sends the picture acquisition request to the user B. The pictures in the preset range may be all pictures stored locally, pictures stored in a local partial folder, pictures stored by the user B in a storage address corresponding to the cloud storage server, or all pictures stored in a storage address corresponding to the local and cloud storage servers, which is not specifically limited in this embodiment of the disclosure.
The identity information may be a user identity used when the user a logs in the social application, or account information used when the user a logs in the cloud storage server, which is not specifically limited in the embodiment of the present disclosure. When sending the picture acquisition request to the user B, the terminal a may be implemented by a social application, which is not specifically limited in this embodiment of the present disclosure. For example, the terminal a first sends the picture obtaining request and the user identifier of the user B to the social application server, and the social application server forwards the picture obtaining request to the terminal B used by the user B according to the user identifier of the user B after receiving the data.
In step 202, after receiving the picture acquisition request sent by the terminal a, the terminal B used by the user B acquires the picture search condition set by the user at the home terminal, and screens candidate pictures from the pictures in the preset range based on the picture search condition.
For a user B, a large number of pictures may be stored in the terminal B used by the user B or in the storage address corresponding to the cloud storage server, and the pictures taken by the user B for the user a may be limited in duration or number.
In detail, after the terminal B receives the picture obtaining request, the terminal B may pop up a prompt option such as "whether to set a picture searching condition", where the prompt option includes two clickable options of "yes" and "no"; and if the clicking operation of the user B on the 'yes' option is detected, displaying the picture searching condition. The picture searching condition at least comprises two items of 'searching according to shooting time' and 'whether a face is included'. Further, the shooting time option may include sub-options of last week, last month, date, etc. for user B to select; whether the face option is included may be divided into a sub-option including a face and a sub-option not including a face, which is not specifically limited in the embodiments of the present disclosure.
If the picture searching condition set by the user B is searching according to the shooting time and the limited time range is the latest week, the terminal B automatically searches the pictures shot in the latest week from all the pictures stored in the local storage and the storage address corresponding to the cloud storage server, and the pictures screened out based on the picture searching condition are used as candidate pictures. If the picture searching condition set by the user B is that the picture searching condition comprises the face, the terminal B automatically searches the picture comprising the face in all pictures which are locally stored and stored in the corresponding storage address of the cloud storage server, and the picture of the face screened out based on the picture searching condition is used as a candidate picture.
In step 203, the terminal B searches for a target picture matching the avatar data from the candidate pictures.
In the embodiment of the present disclosure, when the terminal B searches for the target picture in the candidate pictures, the target picture is realized by using a face recognition technology, which is specifically as follows:
performing face recognition on the head portrait data to obtain first face characteristic data; for each face picture in the candidate pictures, carrying out face recognition on the face picture to obtain second face characteristic data; and if the first face feature data is matched with the second face feature data, determining the face picture as a target picture matched with the head portrait data.
When the face of the picture is identified, the image can be subdivided into the steps of face detection, image preprocessing, face feature data extraction and the like. For the human face detection process, the method is mainly used for accurately calibrating the position and the size of the human face in the image. Since the pattern features contained in the face image are very rich, such as histogram features, color features, template features, structural features, and the like, the face detection process extracts the useful information. For the image preprocessing process, the image preprocessing process is mainly based on the face detection result, and the image preprocessing process is used for processing the image and finally extracting the feature data. The original image is limited by various conditions and random interference, so that the original image cannot be directly used, and the original image needs to be subjected to image preprocessing such as gray scale correction and noise filtering in the early stage of image processing. For the face image, the preprocessing process mainly includes light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering, sharpening, and the like of the face image.
The face feature data is generally divided into visual features, pixel statistical features, face image transformation coefficient features, face image algebraic features, and the like. The extraction of the face feature data is performed for some features of the face. Face feature extraction is essentially a process of feature modeling of a face. The methods for extracting human face features are classified into two main categories: one is a knowledge-based characterization method; the other is a characterization method based on algebraic features or statistical learning. The detailed extraction process can refer to the prior art, and is not described herein again.
For one face picture in the candidate pictures, after second face feature data of the face picture is obtained, the second face feature data is matched with the first face feature data; and if the similarity between the two images exceeds a preset threshold, determining the face image as a target image matched with the head portrait data. The preset threshold may be 95% or 97%, and the like, which is not specifically limited in the embodiments of the present disclosure.
In step 204, the terminal B sends the target picture to the user a according to the identification information.
In the embodiment of the present disclosure, the manner of sending the target picture to the user a is different according to the difference of the identification information, which includes but is not limited to the following two manners:
in the first mode, if the identification information is account information used by the user A for logging in the cloud storage server, the target picture is sent to a storage address corresponding to the account information on the cloud storage server according to the account information.
For the first mode, the terminal B sends the target picture to the cloud storage server. Specifically, the information is stored in a storage address corresponding to the account information on the cloud storage server. For the mode, the terminal B may return a piece of sending prompt information to the user a to prompt that the picture of the user a has been successfully sent to the storage address corresponding to the cloud storage server. In the subsequent process, the user A logs in the cloud storage server by using the account information to obtain the picture shot by the user B.
In the second mode, if the identity identification information is a user identification used by the user A for logging in the social application, the target picture is sent to the social application server, and the social application server sends the target picture to the terminal of the user according to the user identification.
For the second way, the transmission of pictures is implemented based on a social application server. And the terminal B sends the target picture to the social application server through the social application, and the social application server forwards the target picture to the user A according to the user identification of the user A. Thus, the terminal a receives the picture taken by the user B for itself through the social application.
According to the method provided by the embodiment of the disclosure, after a picture acquisition request which is sent by a user and comprises the identification information and the head portrait data is received, the picture search condition set by the user at the home terminal is acquired, the picture matched with the head portrait data is searched in the picture in the preset range automatically according to the picture search condition, and the picture is sent to the user according to the identification information, so that the purpose of automatically selecting the picture according to the head portrait data and automatically sending the selected picture to the user based on the identification information is realized, the user at the home terminal is not required to manually select the picture and manually send the picture, the workload of the user at the home terminal is greatly reduced, the intelligence is better, the convenience and the rapidness are realized, and the picture acquisition speed is increased.
FIG. 3 is a block diagram illustrating a picture collection device according to an exemplary embodiment. Referring to fig. 3, the apparatus includes a receiving module 301, a searching module 302, and a transmitting module 303.
A receiving module 301, configured to receive a picture obtaining request of a user, where the picture obtaining request includes at least identification information and avatar data of the user;
the searching module 302 is configured to search a target picture matched with the head portrait data in pictures in a preset range;
a sending module 303, configured to send the target picture to the user according to the identity information.
In another embodiment, the searching module is configured to obtain a picture searching condition set by a home terminal user; screening candidate pictures from the pictures in the preset range based on the picture searching condition; and searching a target picture matched with the head portrait data in the candidate pictures.
In another embodiment, the searching module is configured to perform face recognition on the head portrait data to obtain first face feature data; for each face picture in the candidate pictures, carrying out face recognition on the face picture to obtain second face characteristic data; and if the first face feature data is matched with the second face feature data, determining the face picture as a target picture matched with the head portrait data.
In another embodiment, the sending module is configured to send the target picture to a storage address corresponding to the account information on the cloud storage server according to the account information if the identification information is the account information used by the user for logging in the cloud storage server; or if the identity identification information is a user identification used by the user for logging in the social application, sending the target picture to a social application server, and sending the target picture to the terminal of the user by the social application server according to the user identification.
In another embodiment, the picture search condition includes at least one of a photographing time and whether a human face is included.
The device provided by the embodiment of the disclosure acquires the picture searching condition set by the user at the home terminal after receiving the picture acquiring request which is sent by the user and comprises the identification information and the head portrait data, automatically searches the picture matched with the head portrait data in the picture in the preset range according to the picture searching condition, and sends the picture to the user according to the identification information, so that the purpose of automatically selecting the picture according to the head portrait data and automatically sending the selected picture to the user based on the identification information is realized, the user at the home terminal is not required to manually select the picture and manually send the picture, the workload of the user at the home terminal is greatly reduced, the intelligence is better, the convenience and the rapidness are realized, and the picture acquiring speed is accelerated.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 4 is a block diagram illustrating a picture collection device 400 according to an exemplary embodiment. For example, the apparatus 400 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 4, the apparatus 400 may include one or more of the following components: processing component 402, memory 404, power component 406, multimedia component 408, audio component 410, interface to I/O (Input/Output) 412, sensor component 414, and communication component 416.
The processing component 402 generally controls overall operation of the apparatus 400, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 402 may include one or more processors 420 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 402 can include one or more modules that facilitate interaction between the processing component 402 and other components. For example, the processing component 402 can include a multimedia module to facilitate interaction between the multimedia component 408 and the processing component 402.
The memory 404 is configured to store various types of data to support operations at the apparatus 400. Examples of such data include instructions for any application or method operating on the device 400, contact data, phonebook data, messages, pictures, videos, and so forth. The Memory 404 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as an SRAM (Static Random Access Memory), an EEPROM (Electrically-Erasable Programmable Read-Only Memory), an EPROM (Erasable Programmable Read-Only Memory), a PROM (Programmable Read-Only Memory), a ROM (Read-Only Memory), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk.
The multimedia component 408 includes a screen that provides an output interface between the device 400 and the user. In some embodiments, the screen may include an LCD (Liquid Crystal Display) and a TP (touch panel). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 408 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the apparatus 400 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 410 is configured to output and/or input audio signals. For example, the audio component 410 may include a Microphone (MIC) configured to receive external audio signals when the device 400 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 404 or transmitted via the communication component 416. In some embodiments, audio component 410 also includes a speaker for outputting audio signals.
The I/O interface 412 provides an interface between the processing component 402 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 414 includes one or more sensors for providing various aspects of status assessment for the apparatus 400. For example, the sensor component 414 can detect the open/closed state of the device 400, the relative positioning of components, such as a display and keypad of the apparatus 400, the sensor component 414 can also detect a change in the position of the apparatus 400 or a component of the apparatus 400, the presence or absence of user contact with the apparatus 400, orientation or acceleration/deceleration of the apparatus 400, and a change in the temperature of the apparatus 400. The sensor assembly 414 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 414 may also include a light sensor, such as a CMOS (Complementary Metal oxide semiconductor) or CCD (Charge-coupled Device) image sensor, for use in imaging applications. In some embodiments, the sensor assembly 414 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 416 is configured to facilitate wired or wireless communication between the apparatus 400 and other devices. The apparatus 400 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 416 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the Communication component 416 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on an RFID (Radio frequency identification) technology, an IrDA (infrared-Data Association) technology, an UWB (Ultra Wideband) technology, a BT (Bluetooth) technology, and other technologies.
In an exemplary embodiment, the apparatus 400 may be implemented by one or more ASICs (Application specific integrated circuits), DSPs (Digital signal processors), DSPDs (Digital signal processing devices), PLDs (Programmable logic devices), FPGAs (Field Programmable Gate arrays), controllers, microcontrollers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 404 comprising instructions, executable by the processor 420 of the apparatus 400 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a RAM (Random Access Memory), a CD-ROM (Compact Disc Read-Only Memory), a magnetic tape, a floppy disk, an optical data storage device, and the like.
A non-transitory computer readable storage medium having instructions therein, which when executed by a processor of a mobile terminal, enable the mobile terminal to perform a picture collection method, the method comprising:
receiving a picture acquisition request of a user, wherein the picture acquisition request at least comprises identity identification 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 identification information.
In another embodiment, searching for a target picture matching with the avatar data in a preset range of pictures includes:
acquiring a picture searching condition set by a home terminal user;
screening candidate pictures from the pictures in a preset range based on the picture searching conditions;
and searching a target picture matched with the head portrait data in the candidate pictures.
In another embodiment, among the candidate pictures, finding a target picture matching the avatar data includes:
performing face recognition on the head portrait data to obtain first face characteristic data;
for each face picture in the candidate pictures, carrying out face recognition on the face picture to obtain second face characteristic data;
and if the first face feature data is matched with the second face feature data, determining the face picture as a target picture matched with the head portrait data.
In another embodiment, sending the target picture to the user according to the identification information includes:
if the identity identification information is account information used by the user for logging in the cloud storage server, sending the target picture to a storage address corresponding to the account information on the cloud storage server according to the account information; or the like, or, alternatively,
and if the identity identification information is a user identification used by the user for logging in the social application, sending the target picture to a social application server, and sending the target picture to a terminal of the user by the social application server according to the user identification.
In another embodiment, the picture search condition includes at least one of a photographing time and whether a human face is included.
The non-transitory computer-readable storage medium provided by the embodiment of the disclosure acquires a picture search condition set by a home terminal user after receiving a picture acquisition request including identification information and avatar data sent by the user, automatically searches for a picture matched with the avatar data in a picture in a preset range according to the picture search condition, and sends the picture to the user according to the identification information, so that the purpose of automatically selecting the picture according to the avatar data and automatically sending the selected picture to the user based on the identification information is achieved, the home terminal user does not need to manually select the picture and manually send the picture, the workload of the home terminal user is greatly reduced, the intelligence is better, the convenience and the rapidness are better, and the picture acquisition speed is increased.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A method of picture collection, the method comprising:
receiving a picture acquisition request of a user, wherein the picture acquisition request at least comprises identity identification information and head portrait data of the user, the identity identification information is a user identification used by the user for logging in a social application, or account information used by the user for logging in a cloud storage server, the user is a friend who performs message interaction with a local terminal in the social application, a picture acquisition option is arranged on a message interaction page of the social application, and the user sends the acquisition request through the picture acquisition option;
searching a target picture matched with the head portrait data in pictures in a preset range;
if the identity identification information is account information used by the user for logging in a cloud storage server, sending the target picture to a storage address corresponding to the account information on the cloud storage server according to the account information, and enabling the user to log in the cloud storage server according to the account information to obtain the picture; or if the identity identification information is a user identification used by the user for logging in the social application, the target picture is sent to a social application server, the social application server sends the target picture to a terminal of the user according to the user identification, and the user obtains the picture through the social application on the terminal.
2. The method according to claim 1, wherein the searching for the target picture matching with the avatar data in the preset range of pictures comprises:
acquiring a picture searching condition set by a home terminal user;
screening candidate pictures from the pictures in the preset range based on the picture searching condition;
and searching a target picture matched with the head portrait data in the candidate pictures.
3. The method according to claim 2, wherein the searching for the target picture matching the avatar data from the candidate pictures comprises:
performing face recognition on the head portrait data to obtain first face feature data;
for each face picture in the candidate pictures, carrying out face recognition on the face picture to obtain second face characteristic data;
and if the first face feature data is matched with the second face feature data, determining the face picture as a target picture matched with the head portrait data.
4. The method according to any one of claims 1 to 3, wherein the picture search condition includes at least one of a photographing time and whether a human face is included.
5. A picture collection device, the device comprising:
the image acquisition module is configured to receive an image acquisition request of a user, wherein the image acquisition request at least comprises identity identification information and head portrait data of the user, the identity identification information is a user identification used by the user for logging in a social application, or account information used by the user for logging in a cloud storage server, the user is a friend who performs message interaction with a local terminal in the social application, an image acquisition option is arranged on a message interaction page of the social application, and the user sends the acquisition request through the image acquisition option;
the searching module is configured to search a target picture matched with the head portrait data in pictures in a preset range;
the sending module is configured to send the target picture to a storage address corresponding to the account information on the cloud storage server according to the account information if the identity identification information is the account information used by the user for logging in the cloud storage server, and the user logs in the cloud storage server according to the account information to obtain the picture; or if the identity identification information is a user identification used by the user for logging in the social application, the target picture is sent to a social application server, the social application server sends the target picture to a terminal of the user according to the user identification, and the user obtains the picture through the social application on the terminal.
6. The apparatus according to claim 5, wherein the search module is configured to obtain a picture search condition set by a home terminal user; screening candidate pictures from the pictures in the preset range based on the picture searching condition; and searching a target picture matched with the head portrait data in the candidate pictures.
7. The apparatus of claim 6, wherein the searching module is configured to perform face recognition on the avatar data to obtain first face feature data; for each face picture in the candidate pictures, carrying out face recognition on the face picture to obtain second face characteristic data; and if the first face feature data is matched with the second face feature data, determining the face picture as a target picture matched with the head portrait data.
8. The apparatus according to any one of claims 5 to 7, wherein the picture search condition includes at least one of a photographing time and whether a human face is included.
9. A picture collection device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to: receiving a picture acquisition request of a user, wherein the picture acquisition request at least comprises identity identification information and head portrait data of the user, the identity identification information is a user identification used by the user for logging in a social application, or account information used by the user for logging in a cloud storage server, the user is a friend who performs message interaction with a local terminal in the social application, a picture acquisition option is arranged on a message interaction page of the social application, and the user sends the acquisition request through the picture acquisition option; searching a target picture matched with the head portrait data in pictures in a preset range; if the identity identification information is account information used by the user for logging in a cloud storage server, sending the target picture to a storage address corresponding to the account information on the cloud storage server according to the account information, and enabling the user to log in the cloud storage server according to the account information to obtain the picture; or if the identity identification information is a user identification used by the user for logging in the social application, the target picture is sent to a social application server, the social application server sends the target picture to a terminal of the user according to the user identification, and the user obtains the picture through the social application on the terminal.
10. A computer-readable storage medium storing at least one instruction which, when executed by a processor, implements the picture collection method of any one of claims 1-4.
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| 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 |
| CN110535754B (en) * | 2019-08-29 | 2022-07-22 | 维沃移动通信有限公司 | Image sharing method and device |
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