CN110738142A - method, system and storage medium for self-adaptively improving face image acquisition - Google Patents
method, system and storage medium for self-adaptively improving face image acquisition Download PDFInfo
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- 230000001815 facial effect Effects 0.000 claims description 2
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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
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
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- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
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Abstract
The invention discloses self-adaptive face image acquisition improving methods, systems and storage media, wherein the method comprises the steps of obtaining posture information, coordinate information and size information of a face in a picture, calculating face area and preview picture area ratio information according to the face coordinate information and the size information, determining an identification distance between the face and a camera device, dynamically adjusting identification parameters according to the identification distance, and acquiring a face image through the camera device based on the adjusted identification parameters.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to methods, systems and storage media for adaptively improving face image acquisition.
Background
The human face living body detection is a method for determining real physiological characteristics of an object in identity verification scenes, in the application of human face recognition, the previous living body detection can be realized by blinking, opening mouth, shaking head, nodding head and other combined actions in a monocular camera, and is generally realized by a binocular camera silence mode at present, namely, a client does not need to perform action coordination, and whether a user operates the real living body or not is verified by using technologies such as human face key point positioning, human face tracking and the like.
Through technology accumulation for many years, the face living body detection technology can effectively prevent attacks of photos, videos and even 3D models, but with the development of the technology and the push of , the experience requirements of clients on binocular cameras are higher and higher, meanwhile, the face living body and comparison recognition are identity authentication technologies which are popular in recent years, the face living body and comparison recognition are greatly developed at present, the face living body and comparison recognition are increasingly applied to fields of public security, attendance prohibition, credit card recognition and the like, and the face living body detection technology at the front end of face collection, particularly the living body detection of the binocular cameras, has the following defects:
1) the bank self-service machine is oriented to common customer masses, the heights of the customers are different, the existing binocular camera has a vertical visual angle of 55 degrees, the people with the heights of 1.4 meters and 1.9 meters cannot be effectively identified, the face imaging of the part of people is usually at the uppermost part or the bottommost part of a preview picture, even only part of faces are on the preview picture, and meanwhile, the pitch angle of the faces is too large, so that the identification effect is influenced.
2) The client often has randomness in the process of recognizing and photographing, and the collected face image is on the leftmost side or the rightmost side of the preview picture, so that part of the face is not collected, and the characteristics of part of the face are lost; in addition, the left and right deflection of the face is too large, so that left and right deflection angles exist in the face collection, and the living body recognition and face comparison of the face are influenced.
3) In addition, in the existing bank newly-improved stock ATM project, due to the structural characteristics of the ATM, a client is too close to the binocular camera and is approximately within 15cm, and the problems of weak visible light and infrared light supplementary light and over explosion exist in the too far and too close distances.
4) Not only in bank self-service equipment, also have as above objective environmental problem in fields such as public security, attendance forbidden, and binocular camera is fixed focus like this, and face image gathers and appears unclear easily, leads to the recognition of people's face live body and compares the recognition accuracy rate low, and customer experience is poor.
Therefore, the application of face recognition in each scene needs to be greatly promoted, and how to improve face image acquisition based on a binocular camera in an objective complex environment, so that the accuracy of living body recognition and comparison recognition is improved, and problems to be solved urgently are formed.
Disclosure of Invention
In view of this, the embodiment of the present invention provides methods, systems, and storage media for adaptively improving face image acquisition, which have high recognition accuracy, good imaging effect, and good customer experience.
, the embodiment of the invention provides methods for adaptively improving human face image acquisition, which comprises the following steps:
acquiring posture information, coordinate information and size information of a human face in a picture;
determining the recognition distance between the face and the camera equipment according to the coordinate information and the size information of the face; specifically, in the present embodiment, ratio information between the area of the face in the preview screen and the area of the entire preview screen is calculated according to the coordinate information and the size information of the face, so as to determine the recognition distance between the face and the imaging device.
Dynamically adjusting identification parameters according to the identification distance, wherein the identification parameters comprise orientation angle parameters of the camera equipment;
and acquiring a face image through the camera equipment based on the adjusted identification parameters.
, the step of determining the recognition distance between the face and the camera device according to the coordinate information and the size information of the face comprises the following steps:
determining the physical position of the face relative to the camera equipment according to the coordinate information and the face posture of the face;
determining an offset value between the face image and the picture center according to the physical position;
determining the pitch angle and the left-right offset angle of the face according to the posture of the face in the picture;
and mapping the physical distance between the face and the camera equipment according to the size information of the face in the picture. Specifically, in this embodiment, ratio information between the face area and the preview screen area is calculated according to size information of the face in the screen, and a physical distance between the face and the image capturing apparatus is mapped.
, the step of dynamically adjusting the recognition parameters according to the recognition distance includes the following steps:
dynamically adjusting orientation angle parameters of the camera equipment according to the coordinate information and the posture of the face in the picture, and adjusting the face image to the center of the picture;
based on the physical distance between the human face and the camera device:
if the physical distance between the face and the camera equipment is smaller than the th threshold value, reducing the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment, reducing the resolution of face imaging and improving parameters of face detection size;
if the physical distance between the face and the camera equipment is larger than the second threshold value, the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment are enhanced, the resolution of face imaging is improved, and parameters of the face detection size are reduced.
, dynamically adjusting orientation angle parameters of the camera device according to the coordinate information and the posture of the face in the picture, and adjusting the face image to the center of the picture , specifically:
after the orientation angle of the camera shooting equipment is dynamically adjusted according to the coordinate information and the posture of the face in the picture, judging whether the pitching angle and the left-right offset angle of the face both meet a preset angle range, and if so, finishing adjusting the orientation angle of the camera shooting equipment; and otherwise, continuously adjusting the orientation angle of the camera equipment until the pitch angle and the left-right offset angle of the face both meet the preset angle range.
In a second aspect, an embodiment of the present invention provides systems for adaptively improving face image acquisition, including:
the acquisition module is used for acquiring the posture information, the coordinate information and the size information of the face in the picture;
the determining module is used for determining the recognition distance between the face and the camera equipment according to the coordinate information and the size information of the face;
the adjusting module is used for dynamically adjusting identification parameters according to the identification distance, and the identification parameters comprise orientation angle parameters of the camera equipment;
and the acquisition module is used for acquiring the face image through the camera equipment based on the adjusted identification parameters.
Further , the determining module includes:
an determining unit, configured to determine a physical position of the face relative to the image capture device according to the coordinate information of the face and the face pose;
the second determining unit is used for determining an offset value between the face image and the picture center according to the physical position;
the third determining unit is used for determining the pitch angle and the left-right offset angle of the face according to the posture of the face in the picture;
and the mapping unit is used for mapping out the physical distance between the human face and the camera equipment according to the size information of the human face in the picture. Specifically, the mapping unit of this embodiment calculates the ratio information between the face area and the preview screen area according to the size information of the face in the screen, and maps the physical distance between the face and the image capturing apparatus
, the adjusting module includes:
adjustment unit, which is used to dynamically adjust the orientation angle parameter of the camera device according to the coordinate information and the posture of the face in the picture, and adjust the face image to the center of the picture;
a second adjustment unit configured to, based on a physical distance between the face and the image pickup apparatus:
if the physical distance between the face and the camera equipment is smaller than the th threshold value, reducing the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment, reducing the resolution of face imaging and improving parameters of face detection size;
if the physical distance between the face and the camera equipment is larger than the second threshold value, the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment are enhanced, the resolution of face imaging is improved, and parameters of the face detection size are reduced.
Further , the adjusting unit specifically executes the following steps:
after the orientation angle of the camera shooting equipment is dynamically adjusted according to the coordinate information and the posture of the face in the picture, judging whether the pitching angle and the left-right offset angle of the face both meet a preset angle range, and if so, finishing adjusting the orientation angle of the camera shooting equipment; and otherwise, continuously adjusting the orientation angle of the camera equipment until the pitch angle and the left-right offset angle of the face both meet the preset angle range.
In a third aspect, an embodiment of the present invention further provides systems for adaptively improving face image acquisition, including:
at least processors;
at least memories for storing at least programs;
when the at least programs are executed by the at least processors, the at least processors implement the method for adaptively improving human face image acquisition.
In a fourth aspect, embodiments of the present invention further provide storage media having stored therein processor-executable instructions that, when executed by a processor, perform the method for adaptively improving human face image acquisition.
The or more technical schemes in the embodiment of the invention at least have the advantages that after coordinate information and size information of a human face in a picture are acquired, the identification distance between the human face and the camera equipment is determined, then the identification parameters are dynamically adjusted according to the identification distance, and finally a human face image is acquired through the camera equipment based on the adjusted identification parameters.
Drawings
FIG. 1 is a flowchart illustrating the overall steps of an embodiment of the present invention;
FIG. 2 is a schematic view of a top-bottom depression of a face image according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a left-right deflection angle of a face image according to an embodiment of the present invention;
FIG. 4 is a preview image of a face image that is too far away according to an embodiment of the present invention;
FIG. 5 is a preview image of a face image when the face image is too close according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a human face image offset at the top of a preview screen according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating a human face image shift at the left portion of a preview screen according to an embodiment of the present invention.
Detailed Description
The present invention is further illustrated and described in with reference to the figures and the specific embodiments of the present invention, the step numbers in the embodiments of the present invention are provided for illustrative purposes only, the sequence between the steps is not limited, and the execution sequence of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
Aiming at the condition of low accuracy rate of living body identification and comparison identification of face image acquisition in the prior art, the invention provides methods, systems and storage media for adaptively improving face image acquisition.
The method comprises the steps of carrying out face detection through a visible light camera of a binocular camera, obtaining an approximate face position according to the position of a detected face in a picture and the posture of the face, and then judging the approximate face distance between the face and the binocular camera based on the size of the face (in the embodiment, the distance is calculated according to the proportion of the face picture in the picture imaged in the camera, according to the transmission principle of a camera lens, the farther the face is away from the camera, the smaller the face is in a preview picture of the camera, otherwise, the closer the face is to the camera, and the larger the face is in the preview picture of the camera).
The lens transmission principle formula is as follows: f/D is H/H,
f: represents the focal length of the lens (fixed focus or zoom, manufacturer provided parameters), in units: mm.
D: distance between the lens and the object, unit: and m is selected.
h is the height of the target surface size of the lens (fixed, is the parameter of an image sensor, such as 1/3 CCD), and the unit is mm.
H is the height of the shot scene ( is 2 times of the height of the shot object), and the unit is m).
As shown in fig. 1, the method for adaptively improving face image acquisition of the present embodiment specifically includes the following steps:
s1, acquiring posture information, coordinate information and size information of the face in the picture;
preferably, in the step S1, the embodiment performs imaging preview by using a visible light camera of a binocular camera, and acquires the coordinate position and the size of the face in the preview screen by using a face detection technology.
S2, determining the recognition distance between the face and the camera equipment according to the coordinate information and the size information of the face; according to the embodiment, the ratio information of the face area in the preview picture to the whole preview picture area is calculated according to the coordinate information and the size information of the face, so that the recognition distance between the face and the image pickup device is determined.
Preferably, the step S2 includes the steps of:
s21, acquiring the posture of the face in the picture;
s22, determining the physical position of the face relative to the camera equipment according to the coordinate information and the face posture of the face;
s23, determining an offset value between the face image and the picture center according to the physical position;
s24, determining the pitch angle and the left-right offset angle of the face according to the posture of the face in the picture;
and S25, mapping the physical distance between the human face and the camera equipment according to the size information of the human face in the picture. According to the size information of the face in the picture, the embodiment calculates the ratio information of the face area to the preview picture area, and maps the physical distance between the face and the camera equipment.
The embodiment maps the physical position of the face relative to the camera based on the coordinate position of the face in the imaging preview picture and the posture of the face, and determines the deviation value between the position of the face in the preview picture and the center of the preview picture;
the method comprises the steps of mapping the physical distance between the human face and the binocular camera based on the human face size in a preview picture (namely the human face area accounts for the preview picture area), and obtaining empirical values as the standard distance between the human face and the camera based on the camera imaging principle for the same human face because the human face imaging is smaller in the picture, wherein is generally caused by the fact that the human face is farther away from the camera and vice versa.
S3, dynamically adjusting identification parameters according to the identification distance, wherein the identification parameters comprise or more of orientation angle parameters of the camera equipment, face detection size parameters, face imaging resolution parameters, light supplement lamp intensity parameters of the camera equipment and self-service equipment environment light intensity parameters;
specifically, the step S3 includes the following steps:
s31, dynamically adjusting orientation angle parameters of the camera equipment according to the coordinate information and the posture of the face in the picture, and adjusting the face image to the center of the picture;
s32, based on the physical distance between the human face and the camera device:
if the physical distance between the face and the camera equipment is smaller than the th threshold value, reducing the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment, reducing the resolution of face imaging and improving parameters of face detection size;
if the physical distance between the face and the camera equipment is larger than the second threshold value, the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment are enhanced, the resolution of face imaging is improved, and parameters of the face detection size are reduced.
In the embodiment, firstly, based on the face position and the face pose, the rotation orientation parameter of the camera is controlled through the motor, so that the face of the client is imaged in the center of the picture; the face position is an offset value between the position of the face in the preview picture and the center of the preview picture, and the direction of the face relative to the camera, namely the upper, lower, left and right directions, can be mapped through the offset value;
and then determining whether the pitch angle and the left-right deflection angle are out of the preset angle range or not through the posture of the face, and adjusting the orientation of the camera based on the pitch angle, the left-right deflection angle and the position of the face so as to enable the pitch angle and the left-right deflection angle of the face in the face image acquired by the camera to be within the preset angle range.
If the physical distance between the face and the binocular camera is too close, for example, less than 15cm (namely th threshold), the intensity of infrared light is reduced and the ambient light supplement lamp of the self-service equipment is reduced through a camera hardware automatic gain control module, so that face imaging overexposure of the infrared camera is prevented, and meanwhile, the resolution of face imaging is reduced and the face size parameter in a face detection algorithm is increased;
if the physical distance between the human face and the binocular camera is too far, for example, the physical distance is larger than 100cm (namely, a second threshold), the intensity of infrared light is increased and an environment light supplement lamp of the self-service equipment is added through the camera hardware automatic gain control module, the human face imaging of the infrared camera is prevented from being too dark, and meanwhile, the resolution of the human face imaging is improved and the parameters of the human face size in the human face detection algorithm are reduced.
The embodiment adjusts the light intensity of the infrared lamp and adjusts the environment light supplement lamp of the self-service equipment through the camera hardware automatic gain control module. The camera hardware automatic gain control module adjusts the intensity of the infrared light through the current. The resolution of the face imaging can adjust the number of pixels contained in each unit size of an acquired picture, and the face is detected only when the size parameter of the face in the face detection algorithm, namely the face image in the face preview picture reaches the size set by the parameter, otherwise, the face is not detected.
And S4, acquiring the face image through the camera equipment based on the adjusted identification parameters.
By utilizing the technical scheme provided by the invention, the face image acquisition is improved based on the binocular camera without the cooperation of a client, and the face imaging is adjusted by the method, so that the problems of too far and too close face living body identification distance in a complex environment and the problems of face pitching angle and left and right deflection angle caused by different face postures can be effectively solved, the face living body and comparison identification experience of the client is improved, and the application adaptability of face identification is improved.
The following describes in detail the implementation process of the method for adaptively improving face image acquisition, with reference to the attached drawings of the specification:
A. in the aspect of face acquisition, the main concern is the up-down depression angle and the left-right deflection angle of the face. As shown in fig. 2 and fig. 3, in this embodiment, an image meeting the requirements of a top-bottom depression angle and a left-right deflection angle is acquired by adjusting an angle of a camera, a current top-bottom depression angle and a current left-right deflection angle of a human face are acquired by a human face detection algorithm, and when the angle detected by the human face is within a range of 0 to 5 degrees, it is described that the adjustment operation of the camera is completed.
B. The approximate face distance between the face and the binocular camera is judged based on the size of the face, and the calculation method comprises the following steps:
the working principle of the camera in this embodiment is roughly as follows: the human face head portrait projects an optical image generated by a LENS (LENS) onto the surface of an image SENSOR (SENSOR), then is converted into an electric signal, is converted into a digital image signal after A/D (analog-to-digital conversion), is sent into a digital signal processing chip (DSP) for processing, is transmitted into a computer for processing through a USB interface, and can be seen through a display.
The invention can solve the problem of face brushing and withdrawal of a binocular camera on a bank self-service machine, under the condition of , when the conventional distance between the camera and the face is 30-100 cm, the image acquired by the face is a qualified image, and when the distance between the camera and the face is 10-30 cm and 100-130 cm, the acquired image is unqualified due to the ultra-short and ultra-long distance.
For the problems of ultra-short distance and ultra-long distance, the method judges the following steps according to the proportion of the imaging size of the face in the picture: the method is specifically determined by presetting the relationship between the ratio of different human face imaging sizes in a picture and corresponding human face detection size parameters, human face imaging resolution parameters, binocular camera light supplement lamps and self-service equipment environment light intensity parameters.
As shown in fig. 4, when the face is too far away from the binocular camera, i.e. the distance is 100cm to 130cm, the proportion of the face pixels occupying the picture is 2.1% to 7%.
As shown in fig. 5, when the face is too close to the binocular camera, i.e. the distance is 10cm to 30cm, the proportion of face pixels occupying the picture is 38% to 45%.
C. The present embodiment derives an approximate face position based on the position of the face in the screen and the pose of the face.
As shown in fig. 6, fig. 6 shows a schematic diagram of a human face biased to the top of the picture, as shown in fig. 7, fig. 7 shows a schematic diagram of a human face biased to the left of the picture, and the embodiment finds out the biased position of the human face by calculating Y, H and L, specifically:
when the face is at the upper and lower edges, Y/H > is 16% and < 30%; the up-down direction of the camera needs to be adjusted; as shown in fig. 6, when the captured image is located at the top of the frame, the camera needs to be adjusted to rotate.
When the face is at the left edge and the right edge, the left direction and the right direction of the camera are required to be adjusted when the X/L > is 8% and is less than 15%;
wherein, X represents the distance from the transverse center line of the face to the left or right edge; y represents the distance from the vertical center line of the face to the upper or lower edge; l represents a length size in the preview screen; h represents the height dimension in the preview screen.
D. And dynamically adjusting the orientation angle parameter of the camera, the size parameter of the face detection, the resolution parameter of the face imaging, the light supplement lamp of the binocular camera and the ambient light intensity parameter of the self-service equipment to obtain the optimal imaging which accords with the face living body detection and the face comparison.
In summary, the adjustment of the human face posture is realized by adjusting the angle of the camera, the up-down depression angle and the left-right deflection angle of the current human face are obtained through a human face detection algorithm, and when the angle detected by the human face is within the range of 0-5 degrees, the adjustment operation of the camera can be completed.
And (3) adjusting the face distance: the method is determined by presetting the relationship between the ratio of different human face imaging sizes in a picture and corresponding human face detection size parameters, human face imaging resolution parameters, binocular camera light supplement lamps and self-service equipment environment light intensity parameters.
And (3) adjusting the position of the face: the invention is determined by presetting the relationship between the position of the human face in the picture and the corresponding binocular camera adjustment orientation angle parameter.
in some embodiments, the rotation orientation parameter of the camera is controlled by the motor to image the face of the client in the center of the screen, if the distance is too close, for example, less than 15cm, the intensity of the infrared light is reduced and the ambient fill light of the self-service device is reduced by the camera hardware automatic gain control module to prevent the face of the infrared camera from being overexposed, and at the same time, the resolution of the face image is reduced and the parameter of the detected face size is increased, and if the distance is too far, for example, greater than 100cm, the intensity of the infrared light is increased and the ambient fill light of the self-service device is increased by the camera hardware automatic gain control module to prevent the face of the infrared camera from being too dark, and at the same time, the resolution of the face image is increased and the parameter of the detected face size is reduced (the adjustment.
It should be noted that: in the embodiment, the intensity of the infrared light and the intensity of the ambient light are both used for adjusting light, so that the light is proper when a picture is shot; the human face imaging resolution is to adjust the imaging pixels of the human face, so that the photographed picture is optimal and the human face recognition is facilitated; the detected face size is a parameter identified by a living body algorithm, and the parameter is adjusted according to the actual imaging picture quality, so that the living body algorithm identification rate is improved. In addition, the resolution mentioned in the present embodiment has no relation with the size of the face; the resolution of the embodiment is the resolution of a preview picture after the camera is imaged; the human face size is a parameter of the living body algorithm, and the human faces with different sizes can be identified by the algorithm by adjusting the human face size parameter, so that the adaptability of algorithm identification is improved.
It can be understood that at a fixed resolution, different distances between the face and the camera lead to different sizes of the face;
and when the distance between the human face and the camera is fixed, the human face imaging quality with high resolution is better.
As shown in table 1, different operations corresponding to the face being too close to and too far from the camera are listed.
TABLE 1
| Intensity of infrared light | Environment light supplement lamp | Human face imaging resolution | Detecting face size | |
| Too close to be close to each other | Reduce | Reduce | Reduce | Is raised |
| Too far away from | Increase of | Increase of | Is raised | Reduce |
By utilizing the technical scheme provided by the invention, the face image acquisition can be improved through the binocular camera without the cooperation of the client, the problems of too far and too close face living body identification distance and pitch angle and left and right deflection angle of the face image caused by different face postures in a complex environment are effectively solved, the face living body and comparison identification experience of the client is improved, and the application adaptability of face identification is improved.
Corresponding to the method in fig. 1, an embodiment of the present invention further provides systems for adaptively improving face image acquisition, including:
the acquisition module is used for acquiring the posture information, the coordinate information and the size information of the face in the picture;
the determining module is used for determining the recognition distance between the face and the camera equipment according to the coordinate information and the size information of the face;
the adjusting module is used for dynamically adjusting identification parameters according to the identification distance, and the identification parameters comprise orientation angle parameters of the camera equipment;
and the acquisition module is used for acquiring the face image through the camera equipment based on the adjusted identification parameters.
Further , the determining module includes:
an determining unit, configured to determine a physical position of the face relative to the image capture device according to the coordinate information of the face and the face pose;
the second determining unit is used for determining an offset value between the face image and the picture center according to the physical position;
the third determining unit is used for determining the pitch angle and the left-right offset angle of the face according to the posture of the face in the picture;
and the mapping unit is used for mapping out the physical distance between the human face and the camera equipment according to the size information of the human face in the picture. The mapping unit of this embodiment calculates the ratio information between the face area and the preview screen area according to the size information of the face in the screen, and maps out the physical distance between the face and the image capturing apparatus.
, the adjusting module comprises:
adjustment unit, which is used to dynamically adjust the orientation angle parameter of the camera device according to the coordinate information and the posture of the face in the picture, and adjust the face image to the center of the picture;
a second adjustment unit configured to, based on a physical distance between the face and the image pickup apparatus:
if the physical distance between the face and the camera equipment is smaller than the th threshold value, reducing the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment, reducing the resolution of face imaging and improving parameters of face detection size;
if the physical distance between the face and the camera equipment is larger than the second threshold value, the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment are enhanced, the resolution of face imaging is improved, and parameters of the face detection size are reduced.
, the adjustment unit executes the following steps:
after the orientation angle of the camera shooting equipment is dynamically adjusted according to the coordinate information and the posture of the face in the picture, judging whether the pitching angle and the left-right offset angle of the face both meet a preset angle range, and if so, finishing adjusting the orientation angle of the camera shooting equipment; and otherwise, continuously adjusting the orientation angle of the camera equipment until the pitch angle and the left-right offset angle of the face both meet the preset angle range.
Corresponding to the method in fig. 1, an embodiment of the present invention further provides systems for adaptively improving face image acquisition, including:
at least processors;
at least memories for storing at least programs;
when the at least programs are executed by the at least processors, the at least processors implement the method for adaptively improving human face image acquisition.
In correspondence with the method of fig. 1, there is also provided storage media having stored therein processor-executable instructions that, when executed by a processor, are configured to perform the method for adaptively improving facial image acquisition.
In some alternative embodiments the functions/operations noted in the block diagrams may occur out of the order noted in the operational illustrations.
Furthermore, although the present invention has been described in the context of functional modules, it should be understood that or more of the described functions and/or features may be integrated into a single physical device and/or software module or or more functions and/or features may be implemented in separate physical devices or software modules unless otherwise stated to the contrary.
Based on the understanding that the technical solution of the present invention, in essence or a part contributing to the prior art, or a part of the technical solution, can be embodied in the form of a software product, which is stored in storage media and includes several instructions for making computer devices (which may be personal computers, servers, or network devices) execute all or part of the steps of the method according to the embodiments of the present invention, and the aforementioned storage media include various media capable of storing program codes, such as a usb disk, a mobile hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include an electrical connection (an electronic device) having or more wires, a portable computer diskette cartridge (a magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM).
For example, if implemented in hardware, and in another embodiment , it may be implemented using any item or combination thereof known in the art, a discrete logic circuit having logic circuits for implementing logic functions on data signals, an application specific integrated circuit having appropriate combinational logic circuits, a programmable array (PGA), a field programmable array (FPGA), or the like.
In the description herein, reference to the terms " embodiments," " embodiments," "examples," "specific examples," or " examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least embodiments or examples of the invention.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1, A method for improving face image collection, which is characterized in that the method comprises the following steps:
acquiring posture information, coordinate information and size information of a human face in a picture;
determining the recognition distance between the face and the camera equipment according to the coordinate information and the size information of the face;
dynamically adjusting identification parameters according to the identification distance, wherein the identification parameters comprise orientation angle parameters of the camera equipment;
and acquiring a face image through the camera equipment based on the adjusted identification parameters.
2. The method for improving face image acquisition adaptively according to claim 1, wherein the step of determining the recognition distance between the face and the camera device based on the coordinate information and size information of the face comprises the steps of:
determining the physical position of the face relative to the camera equipment according to the coordinate information and the face posture of the face;
determining an offset value between the face image and the picture center according to the physical position;
determining the pitch angle and the left-right offset angle of the face according to the posture of the face in the picture;
and mapping the physical distance between the face and the camera equipment according to the size information of the face in the picture.
3. The method for improving face image acquisition adaptively according to claim 2, wherein the step of dynamically adjusting recognition parameters according to recognition distance comprises the steps of:
dynamically adjusting orientation angle parameters of the camera equipment according to the coordinate information and the posture of the face in the picture, and adjusting the face image to the center of the picture;
based on the physical distance between the human face and the camera device:
if the physical distance between the face and the camera equipment is smaller than the th threshold value, reducing the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment, reducing the resolution of face imaging and improving parameters of face detection size;
if the physical distance between the face and the camera equipment is larger than the second threshold value, the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment are enhanced, the resolution of face imaging is improved, and parameters of the face detection size are reduced.
4. The method for improving face image acquisition adaptively as claimed in claim 3, wherein the step of dynamically adjusting the orientation angle parameter of the camera device to adjust the face image to the center of the screen according to the coordinate information and pose of the face in the screen comprises:
after the orientation angle of the camera shooting equipment is dynamically adjusted according to the coordinate information and the posture of the face in the picture, judging whether the pitching angle and the left-right offset angle of the face both meet a preset angle range, and if so, finishing adjusting the orientation angle of the camera shooting equipment; and otherwise, continuously adjusting the orientation angle of the camera equipment until the pitch angle and the left-right offset angle of the face both meet the preset angle range.
5, A system for improving face image acquisition in self-adapting mode, which is characterized by comprising:
the acquisition module is used for acquiring the posture information, the coordinate information and the size information of the face in the picture;
the determining module is used for determining the recognition distance between the face and the camera equipment according to the coordinate information and the size information of the face;
the adjusting module is used for dynamically adjusting identification parameters according to the identification distance, and the identification parameters comprise orientation angle parameters of the camera equipment;
and the acquisition module is used for acquiring the face image through the camera equipment based on the adjusted identification parameters.
6. The system for adaptively improving face image acquisition according to claim 5, wherein the determining module comprises:
an determining unit, configured to determine a physical position of the face relative to the image capture device according to the coordinate information of the face and the face pose;
the second determining unit is used for determining an offset value between the face image and the picture center according to the physical position;
the third determining unit is used for determining the pitch angle and the left-right offset angle of the face according to the posture of the face in the picture;
and the mapping unit is used for mapping out the physical distance between the human face and the camera equipment according to the size information of the human face in the picture.
7. The system for adaptively improving facial image acquisition as claimed in claim 6, wherein the adjustment module comprises:
adjustment unit, which is used to dynamically adjust the orientation angle parameter of the camera device according to the coordinate information and the posture of the face in the picture, and adjust the face image to the center of the picture;
a second adjustment unit configured to, based on a physical distance between the face and the image pickup apparatus:
if the physical distance between the face and the camera equipment is smaller than the th threshold value, reducing the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment, reducing the resolution of face imaging and improving parameters of face detection size;
if the physical distance between the face and the camera equipment is larger than the second threshold value, the light supplement lamp intensity of the camera equipment and the ambient light intensity of the self-service equipment are enhanced, the resolution of face imaging is improved, and parameters of the face detection size are reduced.
8. The system for adaptively improving human face image acquisition according to claim 7, wherein the adjusting unit specifically performs the following steps:
after the orientation angle of the camera shooting equipment is dynamically adjusted according to the coordinate information and the posture of the face in the picture, judging whether the pitching angle and the left-right offset angle of the face both meet a preset angle range, and if so, finishing adjusting the orientation angle of the camera shooting equipment; and otherwise, continuously adjusting the orientation angle of the camera equipment until the pitch angle and the left-right offset angle of the face both meet the preset angle range.
9, kinds of self-adaptive system for improving human face image acquisition, which is characterized by comprising the following components:
at least processors;
at least memories for storing at least programs;
when the at least programs are executed by the at least processors, the at least processors implement a method for adaptively improving human face image acquisition according to any of claims 1-4.
A storage medium having stored therein processor-executable instructions, wherein the processor-executable instructions, when executed by a processor, are for performing a method for adaptively improving human face image acquisition as recited in any of claims 1-4, .
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Denomination of invention: A method, system, and storage medium for adaptive improvement of facial image acquisition Effective date of registration: 20230627 Granted publication date: 20221220 Pledgee: Bank of China Limited by Share Ltd. Guangzhou Tianhe branch Pledgor: GRG TALLY-VISION I.T. Co.,Ltd. Registration number: Y2023980045868 |
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Effective date of registration: 20240208 Address after: No. 001-030, Yuntong Space Office Card, Research Institute Office Building, No. 9, Kelin Road, Science City, Guangzhou Hi tech Industrial Development Zone, 510000 Guangdong Patentee after: GRG TALLY-VISION I.T. Co.,Ltd. Country or region after: China Address before: No. 001-030, Yuntong Space Office Card, Research Institute Office Building, No. 9, Kelin Road, Science City, Guangzhou Hi tech Industrial Development Zone, 510000 Guangdong Patentee before: GRG TALLY-VISION I.T. Co.,Ltd. Country or region before: China Patentee before: Guangdian Yuntong Group Co.,Ltd. |