CN212009571U - Terminal - Google Patents
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- CN212009571U CN212009571U CN202020494692.0U CN202020494692U CN212009571U CN 212009571 U CN212009571 U CN 212009571U CN 202020494692 U CN202020494692 U CN 202020494692U CN 212009571 U CN212009571 U CN 212009571U
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Abstract
The embodiment of the application provides a terminal, which at least comprises a structured light camera and a communication module, wherein the structured light camera is connected with the communication module; the communication module at least comprises a color camera, a first processor and a first transceiver, wherein the color camera is connected with the first processor, and the first processor is connected with the first transceiver; the color camera is used for acquiring a two-dimensional image of a human face; the structured light camera is used for acquiring three-dimensional image data of a human face; the first processor is used for associating the three-dimensional image data with the two-dimensional image to obtain associated data information; the first transceiver is used for uploading the associated data information to the server, and the associated data information is used for the server to perform face recognition. By implementing the embodiment of the application, the terminal is not limited by light conditions, the terminal can acquire the color image and the three-dimensional image data of the face, and can upload the color image and the three-dimensional image data to the server for the server to perform more application processing.
Description
Technical Field
The application relates to the technical field of communication, in particular to a terminal.
Background
With the development of the internet, the face recognition technology is widely applied, and common examples of the face recognition technology include that a terminal device or a client logs in an account through face recognition, or the client pays through face recognition, and the like.
In the face recognition scheme in the prior art, a common color camera of a terminal is generally used for acquiring a face image or image data, but sometimes under a low-light condition, the common color camera cannot acquire the face image or the image data well, so that the terminal cannot perform the next operation; and now most face images or image data are stored on local terminal equipment and are not uploaded to a server for more application services.
SUMMERY OF THE UTILITY MODEL
The embodiment of the application provides a terminal, which can overcome the defects of the prior art, can acquire color images and image data of a human face, is not limited by light conditions, and can upload the color images and the image data to a server for the server to perform more application processing.
In a first aspect, an embodiment of the present application provides a terminal, where the terminal includes at least a structured light camera and a communication module, where the structured light camera is connected to the communication module; the communication module at least comprises a color camera, a first processor and a first transceiver, wherein the color camera is connected with the first processor, and the first processor is connected with the first transceiver; the color camera is used for collecting a two-dimensional image of a human face; the structured light camera is used for acquiring three-dimensional image data of the human face; the first processor is used for associating the three-dimensional image data with the two-dimensional image to obtain associated data information; the first transceiver is used for uploading the associated data information to a server, and the associated data information is used for the server to perform face recognition.
It can be seen that the terminal comprises at least a structured light color camera and a communication module, the structured light camera is connected with the communication module, and the communication module comprises at least a color camera, a first processor and a first transceiver. The color camera is used for acquiring a two-dimensional image of a human face; the structure light camera in the communication module is used for collecting three-dimensional image data of a human face, the first processor is used for correlating the two-dimensional image with the three-dimensional image data to obtain correlated data information, the first transceiver is used for uploading the correlated data information to the server, and the correlated data information is used for the server to perform human face recognition. In the application, the terminal can acquire a two-dimensional image of a face by using the color camera and acquire three-dimensional image data of the face by using the structured light camera, and associates the two-dimensional image corresponding to one face with the three-dimensional image data, so that the defect that the image or the image data of the face cannot be acquired under the weak light condition in the prior art is overcome, the associated data information can be uploaded to the server through the communication module, and the server can perform more applications by using the associated data information of the face.
Based on the first aspect, in a possible implementation manner, the first processor is specifically configured to: and identifying the three-dimensional image data of the human face and the two-dimensional image by using the same identification number ID, and establishing the association between the three-dimensional image data and the two-dimensional image.
It can be seen that the first processor associates the two-dimensional image with the three-dimensional image data by: the three-dimensional image data and the two-dimensional image corresponding to the same face are identified by the same identity identification number ID, so that the three-dimensional image data and the two-dimensional image of the same face are associated, each group of associated data information represents the image and the feature information of one face, the associated data information is uploaded to the server, and when the server carries out face recognition according to the associated data information, particularly when the server receives multiple groups of associated data information at the same time and needs to respectively analyze and recognize faces of the multiple groups of associated data information, the condition of errors caused by disorder of the images and the data is avoided.
Based on the first aspect, in a possible embodiment, the structured light camera comprises at least an infrared camera, a structured light, a second processor, and a second transceiver; the infrared camera and the structured light are respectively connected with the second processor, and the second processor is connected with the second transceiver; the infrared camera is used for collecting an infrared image of the face, and the structured light is used for collecting a depth image of the face; the second processor is used for obtaining a three-dimensional point cloud image of the face according to the infrared image and the depth image; the second processor is also used for obtaining the three-dimensional image data of the human face according to the three-dimensional point cloud image.
It can be seen that the structured light camera comprises at least: the infrared camera is used for collecting an infrared image of a face, the structured light is used for collecting a depth image of the face, the second processor is used for obtaining a three-dimensional point cloud image of the face according to the collected infrared image and the depth image, and finally obtaining three-dimensional image data of the face according to the three-dimensional point cloud image. When infrared camera and structured light gathered the image in this application, do not receive the restraint of natural light, even also can form images in the dark surrounds, solved under the low light condition unable image or image data's problem of acquireing.
Based on the first aspect, in a possible implementation manner, the first transceiver is further configured to send an acquisition instruction to the second transceiver before the color camera is used to acquire a two-dimensional image of a human face; the color camera is specifically used for acquiring a two-dimensional image of a human face according to the acquisition instruction; the infrared camera is specifically used for collecting the infrared image of the face according to the collection instruction, and the structured light is specifically used for collecting the depth image of the face according to the collection instruction.
The structure light camera is in communication connection with the communication module, the communication module sends a collection instruction to the structure light camera through the first transceiver, the color camera collects two-dimensional images according to the collection instruction, the second transceiver receives the collection instruction sent by the first transceiver, and the infrared camera and the structure light collect infrared images and depth images according to the collection instruction respectively.
Based on the first aspect, in a possible implementation, the second transceiver is further configured to send the three-dimensional image data of the human face to the first transceiver before the first processor is configured to associate the three-dimensional image data with the two-dimensional image.
It can be understood that the infrared image acquired by the infrared camera and the depth image acquired by the structured light are both stored in a memory (also referred to as a second memory) of the structured light camera, the second processor finally obtains three-dimensional image data of the human face according to the infrared image and the depth image, and the three-dimensional image data is also stored in the memory (also referred to as the second memory) of the structured light camera, so that the second transceiver of the structured light camera must send the three-dimensional image data to the first transceiver before the first processor associates the three-dimensional image data with the two-dimensional image.
Based on the first aspect, in a possible implementation manner, the second processor is further configured to encrypt the three-dimensional image data of the human face to obtain encrypted three-dimensional image data; the first processor is further configured to associate the encrypted three-dimensional image data with the two-dimensional image to obtain associated data information.
It can be understood that, in order to ensure the safe transmission of the data, the three-dimensional image data of the human face can also be encrypted. The second processor of the structured light camera can also be used for encrypting the three-dimensional image data of the human face, the second transceiver of the structured light camera sends the encrypted three-dimensional image data to the first transceiver, and the first processor in the communication module associates the encrypted three-dimensional image data with the two-dimensional image to obtain associated data information.
Based on the first aspect, in a possible implementation manner, the first processor is specifically configured to: and identifying the encrypted three-dimensional image data and the two-dimensional image of the face by using the same identification number ID, and establishing the association between the encrypted three-dimensional image data and the two-dimensional image.
It can be understood that the encrypted three-dimensional image data and the encrypted two-dimensional image corresponding to the same face are identified by the same identification number ID, so that the three-dimensional image data and the two-dimensional image corresponding to the same face are associated, and then the associated data information is uploaded to the server, so that the server can conveniently perform face recognition according to the associated data information, and particularly, when the server receives multiple groups of associated data information and needs to perform face recognition according to the multiple groups of associated data information, the situation of error caused by disordered images and data is prevented.
Based on the first aspect, in a possible implementation, the second transceiver is further configured to send the encrypted three-dimensional image data to the first transceiver before the first processor is further configured to associate the encrypted three-dimensional image data with the two-dimensional image.
It will be appreciated that the three-dimensional image data is stored in the memory (which may also be referred to as the second memory) of the structured light camera, as is the encrypted three-dimensional image data, so the second transceiver of the structured light camera must send the encrypted three-dimensional image data to the first transceiver before the first processor associates the encrypted three-dimensional image data with the two-dimensional image.
Based on the first aspect, in a possible implementation manner, after the first processor is configured to associate the three-dimensional image data with the two-dimensional image to obtain associated data information, the first processor is further configured to encrypt the associated data information to obtain encrypted associated data information; the first transceiver is further configured to upload the encrypted associated data information to a server, where the encrypted associated data information is used for the server to perform face recognition.
It can be understood that the three-dimensional image data and the two-dimensional image may be associated first, and then the associated data information is encrypted, that is, the associated data information is associated first and then encrypted, so as to ensure that the associated data information is uploaded to the server safely.
Based on the first aspect, in a possible implementation manner, the first transceiver is further configured to receive a face recognition result sent by the server; and the first processor is also used for carrying out corresponding operation according to the face recognition result.
It can be understood that the server performs face recognition according to the associated data information, and after the recognition result is output, the recognition result can be sent to the terminal, so that the first transceiver is also used for receiving the face recognition result sent by the server, and then the first processor performs corresponding operations according to the face recognition result.
It can be seen that an embodiment of the present application provides a terminal, which at least includes a structured light camera and a communication module, where the structured light camera is connected to the communication module, the structured light camera at least includes an infrared camera, a structured light, a second processor and a second transceiver, and the communication module at least includes a color camera, a first processor and a first transceiver. The communication module sends an acquisition instruction to the second transceiver through the first transceiver, the color camera acquires a two-dimensional image according to the acquisition instruction, the infrared camera acquires an infrared image according to the acquisition instruction, and the structured light acquires a depth image according to the acquisition instruction; optionally, the second processor can also encrypt the three-dimensional image data to obtain encrypted three-dimensional image data, and send the encrypted three-dimensional image data or the encrypted three-dimensional image data to the first transceiver of the communication module through the second transceiver; the first processor associates the encrypted three-dimensional image data or the three-dimensional image data and the two-dimensional image to obtain associated data information, wherein the association method can be that the three-dimensional image data and the two-dimensional image of the same face are identified by the same identification number ID; the first transceiver uploads the associated data information to the server for a face recognition process of the server. By implementing the embodiment of the application, the terminal can acquire the color image and the three-dimensional image data of the face without being limited by light conditions; the color image and the three-dimensional image data are associated and encrypted, so that the safety and the effectiveness of a transmission place are ensured; and uploading the acquired data information for the server to perform more applications.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a terminal according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of data flow inside a terminal structure according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of an apparatus of a first processor in a terminal according to an embodiment of the present application;
fig. 5 is a schematic diagram of an apparatus of a second processor in a terminal according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It is to be understood that the terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only, and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is noted that, as used in this specification and the appended claims, the term "comprises" and any variations thereof are intended to cover non-exclusive inclusions. For example, a system, article, or apparatus that comprises a list of elements/components is not limited to only those elements/components but may alternatively include other elements/components not expressly listed or inherent to such system, article, or apparatus.
It is also understood that the term "if" may be interpreted as "when", "upon" or "in response to" determining "or" in response to detecting "or" in the case of … "depending on the context.
It should also be noted that the terms "first," "second," "third," "fourth," and the like in the description and in the claims, are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order.
Referring to fig. 1, fig. 1 is a schematic diagram of a system provided in an embodiment of the present application, where the system includes a terminal 100 and a server 200. The terminal 100 is configured to collect a two-dimensional image of a human face and acquire three-dimensional image data of the human face, process the collected two-dimensional image and three-dimensional image data, and finally upload processed data information to the server 200; the server 200 is configured to perform face recognition according to the received data information, obtain a recognition result, and select whether the recognition result needs to be sent to the terminal 100 according to an actual situation.
In an optional embodiment, the terminal 100 is further configured to perform a relevant subsequent operation process according to the received identification result.
It should be noted that the server 200 may receive data information sent by a plurality of different terminals 100, perform face recognition according to the data information sent by each terminal 100, and send the recognition result to each terminal 100.
Based on the system architecture, the present application provides a terminal 100, and referring to fig. 2, fig. 2 is a schematic structural diagram of the terminal 100 according to an embodiment of the present application. The terminal 100 at least comprises a structured light camera 10 and a communication module 20, wherein the structured light camera 10 is connected with the communication module 20 in a communication way; wherein, the structured light camera 10 at least includes: the infrared camera 110, the structured light 160, the second processor 120, the second memory 140, and the second transceiver 130 are coupled via a second bus 150, and the infrared camera 110 and the structured light 160 are also connected to the second processor 120, the second memory 140, and the second transceiver 130 via the second bus 150, respectively; the communication module 20 at least includes a color camera 210, a first processor 220, a first transceiver 230 and a first memory 240, wherein the first processor 220, the first memory 240 and the first transceiver 230 are coupled via a first bus 250, and the color camera 210 is connected to the first processor 220, the first memory 240 and the first transceiver 230 via the first bus 250.
The structured light camera 10 is configured to acquire three-dimensional image data of a human face, and send the acquired three-dimensional image data to the communication module 20, and specifically includes:
the infrared camera 110 is used for collecting an infrared image of a human face, and the principle that the infrared camera 110 collects the image is as follows: the infrared lamp can emit infrared rays to irradiate an object, the infrared rays are subjected to diffuse reflection, and then are received by the infrared camera 110 to form an infrared image. Since the infrared camera 110 images an infrared image in the dark, the application range is much wider than that of a common color camera 210(RGB camera), and the infrared image collected by the infrared camera 110 is not easily interfered by a natural light environment.
The structured light 160 (also referred to as 3D structured light 160) is used to capture a depth image of a human face, and an image obtained by using an infrared dot matrix emitter and using distance (depth) values from the structured light camera 160 to points of the human face as pixel values is a depth image, and the depth image directly reflects the geometric shape of the visible surface of an object (human face). Both the depth image and the infrared image are obtained by irradiating an object with infrared rays emitted from an infrared lamp, so that the structured light camera 10 can be used in a dark environment and is not easily disturbed by a natural light environment when the image is captured.
The second memory 140 is used for storing the infrared image collected by the infrared camera 110 and the depth image collected by the structured light 160; the second processor 120 is configured to process the infrared image and the depth image stored in the second memory 140, specifically: the second processor 120 obtains a three-dimensional point cloud image of the face according to the infrared image (the infrared image belongs to the two-dimensional image) and the depth image of the face, and then processes the three-dimensional point cloud image to obtain three-dimensional image data (three-dimensional characteristic value) of the face; after the structured light camera 160 acquires the three-dimensional image data of the human face, the second transceiver 130 is configured to send the three-dimensional image data of the human face to the communication module 20.
In an embodiment, after the second processor 120 acquires the three-dimensional image data of the face, the second processor 120 is further configured to encrypt the three-dimensional image data of the face to obtain encrypted three-dimensional image data; the second transceiver 130 is also used for transmitting the encrypted three-dimensional image data to the communication module 20. Here, in order to safely and accurately transmit the three-dimensional image data to the communication module 20, the second processor 120 encrypts the three-dimensional image data and then transmits the encrypted three-dimensional image data.
It should be noted that before the infrared camera 110 collects the infrared image and the structured light 160 collects the depth image, the second transceiver 130 in the structured light camera 10 is further configured to receive a collecting instruction sent by the communication module 20 through the first transceiver 230, and the infrared camera 110 and the structured light 160 collect the infrared image and the depth image according to the received collecting instruction, respectively.
The color camera 210 in the communication module 20 is mainly used for acquiring two-dimensional images, the first processor 220 is mainly used for processing images and data, the first transceiver 230 is mainly used for uploading processed data information to the server 200, and the first memory 240 is mainly used for storing images, data, information and the like, specifically:
the color camera 210 is used to acquire a two-dimensional image of a human face, and the acquired two-dimensional image is used to be stored in the first memory 240. It should be noted that before the color camera 210 collects the two-dimensional image, the first transceiver 230 of the communication module 20 is configured to send a collecting instruction to the second transceiver 130, and the color camera 210 collects the two-dimensional image of the face according to the collecting instruction, and meanwhile, the infrared camera 110 and the structured light 160 collect the infrared image and the depth image of the face respectively according to the collecting instruction.
The first transceiver 230 in the communication module 20 is further configured to receive three-dimensional image data sent by the structured light camera 10 through the second transceiver 130; the first processor 220 is configured to associate the three-dimensional image data of the human face with the two-dimensional image to obtain associated data information, where the associating method may be: the two-dimensional image and the three-dimensional image data corresponding to the same face are identified by the same identification number ID, and then the two-dimensional image and the three-dimensional image data with the same identification number ID are associated, so that the two-dimensional image and the three-dimensional image data corresponding to the same face are associated to be used as a whole, and the associated data information is uploaded to the server 200; the first transceiver 230 is configured to upload associated data information to the server 200, where the associated data information is used in a face recognition process of the server 200.
In one embodiment, before uploading the associated data information to the server 200, the associated data information may be encrypted (first associated and then encrypted) and then uploaded to the server 200, where the encryption is to ensure that the associated data information can be safely uploaded.
In yet another embodiment, the first transceiver 230 is also used to receive encrypted three-dimensional image data transmitted by the structured light camera 10 through the second transceiver 130; the first processor 220 is configured to associate the encrypted three-dimensional image data with the two-dimensional image to obtain associated data information (association after encryption), where the association may be: the two-dimensional image and the encrypted three-dimensional image data corresponding to the same face are identified by the same identification number ID, and then the two-dimensional image with the same identification number ID is associated with the encrypted three-dimensional image data, so that the two-dimensional image corresponding to the same face and the encrypted three-dimensional image data are associated to be used as a whole, and the associated data information is uploaded to the server 200; the first transceiver 230 is configured to upload associated data information to the server 200, where the associated data information is used in a face recognition process of the server 200.
In an embodiment, the terminal 100 may further include a display screen (not shown), and the display screen may be disposed integrally with the communication module 20, or may be disposed on the terminal 100 independently for displaying data, results, or information.
In an embodiment, the server 200 receives the associated data information sent by the terminal 100, the server 200 decrypts the associated data information to obtain three-dimensional image data and a two-dimensional image, the server 200 compares and matches the obtained three-dimensional image data with three-dimensional image data prestored in a library to obtain a face recognition result, the server 200 may send the face recognition result to the terminal 100, and the terminal 100 receives the face recognition result and may perform a corresponding operation according to the face recognition result. The two-dimensional image is used for recording the identified face, and inspection and verification are facilitated.
For example, in a specific embodiment, the terminal 100 is used to control the entrance guard of a certain cell, and the terminal 100 acquires encrypted three-dimensional image data and two-dimensional image of a human face, associates the three-dimensional image data and the two-dimensional image data, and uploads associated data information to the server 200. The server 200 decrypts the associated data information to obtain three-dimensional image data and a two-dimensional image, then matches the three-dimensional image data with three-dimensional image data pre-stored in the library, if the three-dimensional image data is successfully matched with the three-dimensional image data of a certain person in the library, the face recognition result is 'pass', the server 200 sends the result to the terminal 100, and the terminal 100 executes the operation according to the received result: automatically opening the entrance guard of the community; if the three-dimensional image data is not matched with the three-dimensional image data of all people in the library, namely the matching fails, and the identification result is 'failing to pass', the server 200 sends the result to the terminal 100, and the terminal 100 executes the operation according to the received result: the entrance guard of the community keeps a closed state. The two-dimensional image is used for recording the identified face, so that subsequent checking and inspection are facilitated, and manual checking can be performed on the face which fails to be matched through the two-dimensional image.
If the server 200 receives the associated data information transmitted by one terminal 100 or the associated data information transmitted by a plurality of different terminals 100, the server 200 decrypts each associated data information to obtain a two-dimensional image of each face and three-dimensional image data associated with each two-dimensional image, matches each three-dimensional image data with three-dimensional image data pre-stored in the library, outputs a corresponding recognition result, and transmits the corresponding recognition result to the corresponding terminal 100.
In the present application, the related data information may be stored in a local memory of the terminal 100, and face recognition may be performed using a local database.
It can be seen that the present embodiment provides a terminal 100, where the terminal 100 at least includes a structured light camera 10 and a communication module 20, the structured light camera 10 is connected to the communication module 20, the structured light camera 10 at least includes an infrared camera 110, structured light 160, a second processor 120 and a second transceiver 130, and the communication module 20 at least includes a color camera 210, a first processor 220 and a first transceiver 230. The communication module 20 sends an acquisition instruction to the second transceiver 130 through the first transceiver 230, the color camera 210 acquires a two-dimensional image according to the acquisition instruction, the infrared camera 110 acquires an infrared image according to the acquisition instruction, and the structured light 160 acquires a depth image according to the acquisition instruction; the second processor 120 establishes a three-dimensional point cloud image according to the infrared image and the depth image, and obtains three-dimensional image data of the human face according to the three-dimensional point cloud image, optionally, the second processor 120 may further encrypt the three-dimensional image data to obtain encrypted three-dimensional image data, and send the encrypted three-dimensional image data or the three-dimensional image data to the first transceiver 230 of the communication module 20 through the second transceiver 130; the first processor 220 associates the encrypted three-dimensional image data or the three-dimensional image data and the two-dimensional image to obtain associated data information, wherein the association method may be that the three-dimensional image data and the two-dimensional image of the same face are identified by the same identification number ID; the first transceiver 230 uploads the associated data information to the server 200 for the face recognition process of the server 200. Therefore, by implementing the embodiment of the application, the terminal 100 can acquire color images and three-dimensional image data of the human face without being limited by light conditions; the color image and the three-dimensional image data are associated and encrypted, so that the safety and the effectiveness of a transmission place are ensured; and uploading the acquired data information for the server 200 to perform more applications.
Referring to fig. 3, fig. 3 is a schematic diagram of data flow inside the terminal 100 according to an embodiment of the present application, and a data flow direction of the terminal 100 in the present application is specifically described according to the schematic diagram.
First, the first processor 220 sends an acquisition instruction, the acquisition instruction is sent to the second transceiver 130 through the first transceiver 230, the second processor 120 controls the infrared camera 110 and the structured light 160 to respectively acquire an infrared image and a depth image, and simultaneously the first processor 220 controls the color camera 210 to acquire a two-dimensional image; then, the infrared image and the depth image are stored in the second memory 140, the second processor 120 processes the infrared image and the depth image to finally obtain three-dimensional image data or encrypted three-dimensional image data, and sends the three-dimensional image data or the encrypted three-dimensional image data to the first transceiver 230 through the second transceiver 130, and stores the three-dimensional image data or the encrypted three-dimensional image data in the first memory 240, meanwhile, the two-dimensional image acquired by the color camera 210 is also stored in the first memory 240, and the two-dimensional image and the three-dimensional image data in the first memory 240 are associated by the first processor 220; finally, the first transceiver 230 uploads the associated data information to the server 200 through wifi/LTE, and of course, the first transceiver 230 can also receive data, information, and the like sent by the server 200 through wifi/LTE.
It should be noted that the data flow in fig. 3 is only one specific embodiment provided in the present application and is used to explain the relationship between the structures in the terminal 100 and the data flow direction, and in practice, there may be other data flow directions, and the schematic diagram should not be construed as limiting the present application.
An apparatus schematic diagram of the first processor 220 in the terminal 100 is provided in the embodiment of the present application, and referring to fig. 4, the apparatus may include: an association module 221, an encryption module 222, and a subsequent processing module 223, each of which is configured to implement various operations of the first processor 220 in fig. 2, wherein,
the association module 221 is configured to associate the three-dimensional image data with the two-dimensional image to obtain associated data information; the method specifically comprises the following steps: identifying the three-dimensional image data and the two-dimensional image of the human face by using the same identity identification number ID, and establishing the association between the three-dimensional image data and the two-dimensional image;
an encryption module 222, configured to encrypt the associated data information to obtain encrypted associated data information;
and a subsequent processing module 223, configured to perform corresponding subsequent processing operations according to the face recognition result.
In one embodiment, the associating module 221 is further configured to associate the encrypted three-dimensional image data with the two-dimensional image, and obtain associated data information; the method specifically comprises the following steps: and identifying the encrypted three-dimensional image data and the two-dimensional image of the face by using the same identification number ID, and establishing the association between the encrypted three-dimensional image data and the two-dimensional image.
It should be noted that the encryption module 222 in this embodiment is optional, the encryption operation may be implemented in the communication module 20, if the encryption operation is implemented in the communication module 20, the encryption module 222 may be present, and if the encryption operation is not implemented in the communication module 20, the encryption module 222 may not be present.
An apparatus schematic diagram of the second processor 120 in the terminal 100 is further provided in the embodiment of the present application, and referring to fig. 5, the apparatus may include: an image reconstruction module 121, a data extraction module 122, and an encryption module 123, wherein the respective functional modules in the apparatus are used for implementing various operations of the second processor 120 in fig. 2, wherein,
the image reconstruction module 121 is configured to obtain a three-dimensional point cloud image of a human face according to the infrared image and the depth image;
the data extraction module 122 is configured to obtain three-dimensional image data of a human face according to the three-dimensional point cloud image;
and the encryption module 123 is configured to encrypt the three-dimensional image data of the human face to obtain encrypted three-dimensional image data.
It should be noted that the encryption module 123 in this embodiment is optional, and the encryption operation may be implemented in the structured light camera 10, and if the encryption operation is implemented in the structured light camera 10, the encryption module 123 may be present, and if the encryption operation is not implemented in the structured light camera 10, the encryption module 123 may not be present.
The terminal 100 in the embodiment of the application can be developed based on an open-source Android system, and is developed by utilizing surplus operational capability in a baseband processor inside an Android system module, so that the development cost is reduced; by using the terminal 100, related IO ports, devices and data communication API functions can be encapsulated in a module internal system according to the functions of the current module, so that more applications of face recognition can be developed quickly.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to related descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
The foregoing detailed description has been provided for the embodiments of the present application, and the principles and implementations of the present invention have been explained herein using specific examples, which are provided only to help understand the embodiments and their core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and applications, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A terminal, characterized in that the terminal comprises at least a structured light camera and a communication module, the structured light camera being connected to the communication module; the communication module at least comprises a color camera, a first processor and a first transceiver, wherein the color camera is connected with the first processor, and the first processor is connected with the first transceiver;
the color camera is used for collecting a two-dimensional image of a human face;
the structured light camera is used for acquiring three-dimensional image data of the human face;
the first processor is used for associating the three-dimensional image data with the two-dimensional image to obtain associated data information;
the first transceiver is used for uploading the associated data information to a server, and the associated data information is used for the server to perform face recognition.
2. The terminal of claim 1, wherein the first processor is further configured to: and identifying the three-dimensional image data of the human face and the two-dimensional image by using the same identification number ID, and establishing the association between the three-dimensional image data and the two-dimensional image.
3. The terminal of claim 1, wherein the structured light camera comprises at least an infrared camera, a structured light, a second processor, and a second transceiver; the infrared camera and the structured light are respectively connected with the second processor, and the second processor is connected with the second transceiver;
the infrared camera is used for collecting an infrared image of the face, and the structured light is used for collecting a depth image of the face;
the second processor is used for obtaining a three-dimensional point cloud image of the face according to the infrared image and the depth image;
the second processor is also used for obtaining the three-dimensional image data of the human face according to the three-dimensional point cloud image.
4. The terminal of claim 3, wherein the first transceiver is further configured to send a capture command to the second transceiver before the color camera is configured to capture a two-dimensional image of a human face;
the color camera is specifically used for acquiring a two-dimensional image of a human face according to the acquisition instruction;
the infrared camera is specifically used for collecting the infrared image of the face according to the collection instruction, and the structured light is specifically used for collecting the depth image of the face according to the collection instruction.
5. A terminal as claimed in claim 3, wherein the second transceiver is further arranged to transmit three-dimensional image data of the human face to the first transceiver before the first processor is arranged to associate the three-dimensional image data with the two-dimensional image.
6. The terminal according to claim 3, wherein the second processor is further configured to encrypt the three-dimensional image data of the human face to obtain encrypted three-dimensional image data;
the first processor is further configured to associate the encrypted three-dimensional image data with the two-dimensional image to obtain associated data information.
7. The terminal of claim 6, wherein the first processor is further configured to: and identifying the encrypted three-dimensional image data and the two-dimensional image of the face by using the same identification number ID, and establishing the association between the encrypted three-dimensional image data and the two-dimensional image.
8. A terminal according to any of claims 6-7, wherein the second transceiver is further arranged to transmit the encrypted three-dimensional image data to the first transceiver before the first processor is further arranged to associate the encrypted three-dimensional image data with the two-dimensional image.
9. A terminal according to any of claims 1-5, wherein after the first processor is configured to associate the three-dimensional image data with the two-dimensional image to obtain associated data information, the first processor is further configured to encrypt the associated data information to obtain encrypted associated data information;
the first transceiver is further configured to upload the encrypted associated data information to a server, where the encrypted associated data information is used for the server to perform face recognition.
10. The terminal of claim 1,
the first transceiver is also used for receiving a face recognition result sent by the server;
and the first processor is also used for carrying out corresponding operation according to the face recognition result.
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