CN112819722A - Infrared image face exposure method, device, equipment and storage medium - Google Patents
Infrared image face exposure method, device, equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/34—Smoothing or thinning of the pattern; Morphological operations; Skeletonisation
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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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
Abstract
The application provides an infrared image face exposure method, device, equipment and storage medium, and relates to the technical field of image processing. The method comprises the following steps: acquiring a face area in an infrared image acquired by an infrared camera; calculating the brightness of the face area in the infrared image; judging whether the brightness deviation between the brightness of the face area and the preset target brightness is within a preset brightness deviation range or not; if the brightness deviation is not within the preset brightness deviation range, adjusting the exposure parameters of the infrared camera; and exposing the face area in the infrared image according to the adjusted exposure parameters. By applying the method and the device, when the target object is in a scene such as a backlight scene or a strong frontlight scene, a clear face image can be acquired.
Description
Technical Field
The application relates to the technical field of image processing, in particular to a method, a device, equipment and a storage medium for exposing a face of an infrared image.
Background
With the development of the face recognition technology, the face recognition technology is widely applied to the aspects of face payment, face unlocking and the like. Specifically, the face can be recognized through a 3D structured light module included in the face recognition device and a processor connected with the 3D structured light module.
At present, when a target object is in a scene such as a backlight scene or a strong frontlight scene, an exposure parameter of a camera is mainly adjusted according to an average brightness of the whole area of the target object, so that the average brightness of the whole area of the target object reaches a preset brightness, and face recognition is performed based on the whole area of the target object reaching the preset brightness.
However, when a human face is recognized, a human face area is mainly concerned, and if the exposure parameters of the camera are adjusted in the above manner, a phenomenon that the human face area is too dark or overexposed may occur, which may result in that a clear human face image cannot be acquired.
Disclosure of Invention
An object of the present application is to provide a method, an apparatus, a device, and a storage medium for exposing a face with an infrared image, which can acquire a clear face image when a target object is in a scene such as a backlight scene or a highlight scene.
In a first aspect, an embodiment of the present application provides an infrared image face exposure method, where the method includes:
acquiring a face area in an infrared image acquired by an infrared camera;
calculating the brightness of the face area in the infrared image;
judging whether the brightness deviation between the brightness of the face area and a preset target brightness is within a preset brightness deviation range or not;
if the brightness deviation is not within the preset brightness deviation range, adjusting exposure parameters of the infrared camera;
and exposing the face area in the infrared image according to the adjusted exposure parameters.
Optionally, if the brightness deviation is not within the preset brightness deviation range, adjusting an exposure parameter of the infrared camera includes:
if the brightness deviation is not within the preset brightness deviation range and the brightness of the face area is smaller than the preset target brightness, the exposure parameters of the infrared camera are improved;
and if the brightness deviation is not within the preset brightness deviation range and the brightness of the face area is greater than the preset target brightness, reducing the exposure parameters of the infrared camera.
Optionally, the adjusting exposure parameters of the infrared camera includes:
and adjusting the exposure parameters of the infrared camera according to preset unit exposure parameters until the brightness deviation between the brightness of the human face area in the infrared image exposed based on the adjusted exposure parameters and the preset target brightness is within the preset brightness deviation range.
Optionally, before the obtaining of the face region in the infrared image acquired by the infrared camera, the method further includes:
if the application layer cannot identify the face in the infrared image, acquiring the position of a face frame transmitted by the application layer, wherein the position of the face frame is obtained by the application layer through face identification based on a color image acquired by a color camera;
and determining the surrounding area of the face frame in the infrared image as the face area according to the position of the face frame.
Optionally, the acquiring a face region in an infrared image acquired by an infrared camera includes:
if the application layer respectively identifies the human face from a plurality of frames of infrared images continuously collected by the infrared camera, acquiring the human face area of each frame of infrared image;
the calculating the brightness of the face region in the infrared image comprises:
and respectively calculating the brightness of the face area in each frame of the infrared image to obtain the brightness of the target face.
Optionally, the calculating the brightness of the face region in each frame of the infrared image respectively to obtain the target face brightness includes:
carrying out grid division on the face area in each frame of the infrared image to obtain a plurality of face grids;
and obtaining the brightness of the target face according to the average brightness of the face grids.
Optionally, before determining whether a brightness deviation between the brightness of the face region and a preset target brightness is within a preset brightness deviation range, the method further includes:
acquiring a plurality of groups of infrared sample images, wherein each group of infrared sample image comprises: the infrared camera comprises a plurality of infrared sample images collected by the infrared camera at the same position, different groups of infrared images are infrared sample images collected by the infrared camera at different positions respectively, and different positions correspond to different exposure parameters;
selecting a group of infrared sample images meeting a preset brightness constraint condition from the multiple groups of infrared sample images as target infrared sample images according to a preset brightness constraint condition;
and taking the brightness of the human face area in the target infrared sample image as the preset target brightness.
In a second aspect, an embodiment of the present application further provides an infrared image human face exposure apparatus, where the apparatus includes:
the acquisition module is used for acquiring a face area in an infrared image acquired by the infrared camera;
the computing module is used for computing the brightness of the face area in the infrared image;
the judging module is used for judging whether the brightness deviation between the brightness of the face area and the preset target brightness is within a preset brightness deviation range or not;
the adjusting module is used for adjusting the exposure parameters of the infrared camera if the brightness deviation is not within the preset brightness deviation range;
and the exposure module is used for exposing the face area in the infrared image according to the adjusted exposure parameters.
Optionally, the adjusting module is specifically configured to, if the brightness deviation is not within the preset brightness deviation range and the brightness of the face region is smaller than the preset target brightness, increase the exposure parameter of the infrared camera; and if the brightness deviation is not within the preset brightness deviation range and the brightness of the face area is greater than the preset target brightness, reducing the exposure parameters of the infrared camera.
Optionally, the adjusting module is further specifically configured to adjust the exposure parameter of the infrared camera according to a preset unit exposure parameter until a brightness deviation between the brightness of the face region in the infrared image exposed based on the adjusted exposure parameter and the preset target brightness is within the preset brightness deviation range.
Optionally, the obtaining module is further configured to obtain a position of a face frame transmitted by the application layer if the application layer cannot recognize the face in the infrared image, where the position of the face frame is obtained by the application layer through face recognition based on a color image acquired by a color camera; and determining the surrounding area of the face frame in the infrared image as the face area according to the position of the face frame.
Optionally, the obtaining module is specifically configured to obtain a face area of each frame of the infrared image if the application layer identifies a face from multiple frames of infrared images continuously collected by the infrared camera respectively;
correspondingly, the calculating module is specifically configured to calculate the brightness of the face region in each frame of the infrared image, so as to obtain the target face brightness.
Optionally, the computing module is further specifically configured to perform mesh division on the face area in each frame of the infrared image to obtain a plurality of face meshes; and obtaining the brightness of the target face according to the average brightness of the face grids.
Optionally, the acquiring module is further configured to acquire a plurality of sets of infrared sample images, where each set of infrared sample image includes: the infrared camera comprises a plurality of infrared sample images collected by the infrared camera at the same position, different groups of infrared images are infrared sample images collected by the infrared camera at different positions respectively, and different positions correspond to different exposure parameters;
the device also comprises a selection module, wherein the selection module is used for selecting one group of infrared sample images meeting the preset brightness constraint condition from the plurality of groups of infrared sample images as target infrared sample images according to the preset brightness constraint condition; and taking the brightness of the human face area in the target infrared sample image as the preset target brightness.
In a third aspect, an embodiment of the present application provides an electronic device, including: the electronic device comprises a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the electronic device runs, the processor and the storage medium communicate through the bus, and the processor executes the machine-readable instructions to execute the steps of the infrared image face exposure method according to the first aspect.
In a fourth aspect, an embodiment of the present application provides a storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the infrared image face exposure method in the first aspect are executed.
The beneficial effect of this application is:
the embodiment of the application provides an infrared image face exposure method, an infrared image face exposure device, equipment and a storage medium, wherein the method comprises the following steps: acquiring a face area in an infrared image acquired by an infrared camera; calculating the brightness of the face area in the infrared image; judging whether the brightness deviation between the brightness of the face area and the preset target brightness is within a preset brightness deviation range or not; if the brightness deviation is not within the preset brightness deviation range, adjusting the exposure parameters of the infrared camera; and exposing the face area in the infrared image according to the adjusted exposure parameters. By adopting the infrared image face exposure method provided by the embodiment of the application, the relation between the brightness of the face area in the infrared image and the preset target brightness is focused, the exposure parameters of the infrared camera are adjusted through the relation, and finally the brightness of the face area in the infrared image meets the preset requirement. The phenomenon that exposure is carried out through the brightness of the whole infrared image in the prior art is avoided, and thus clear face images can be obtained when the target object is in a scene such as a backlight scene or a strong-forward-light scene.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an infrared image face exposure system according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of an infrared image face exposure method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of another infrared image face exposure method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another infrared image face exposure method according to an embodiment of the present application;
fig. 5 is a schematic flowchart of another infrared image face exposure method according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an infrared image face exposure apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the application. 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 should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Before explaining the embodiments of the present application in detail, an application scenario of the present application will be described first. The application scene can be specifically a scene for recognizing a human face, such as scenes for human face payment, human face unlocking and the like, and can be applied to the fields of human face access control, gate machines, financial industry and the like. Fig. 1 is a schematic structural diagram of an infrared image face exposure system according to an embodiment of the present disclosure, and as shown in fig. 1, the system may include an infrared camera 101, a color camera 102, a floodlight 103, a projector 104, and a processor 105, where the projector 104 is configured to project speckle or other structural light to a target object; the infrared camera 101 may collect an infrared image including the target object in combination with the floodlight 103 and send the infrared image to the processor 105; the color camera 102 may collect a color image including the target object and send the color image to the processor 105; the processor 105 may identify the target object based on the infrared image, the color image, and the plurality of reference images stored in advance. The processor 105 may determine a target exposure parameter of the face region according to preset target brightness and brightness of the face region in the infrared image, so that the infrared camera 101 exposes the face region according to the target exposure parameter, and the processor 105 may obtain a clear face infrared image. The processor 105 may identify the target object based on the infrared image of the face, the color image, and a plurality of reference images stored in advance. It can be seen that on the premise that the face image is clear, the accuracy of face recognition can be further improved.
The system can be embedded into the image acquisition equipment in advance, the specific form of the image acquisition equipment can be a mobile phone, a tablet personal computer, an intelligent door lock, wearable equipment and the like, and it needs to be explained that the form of the image acquisition equipment is not limited in the application, the image acquisition equipment only has a face recognition function, and any form belongs to the protection scope of the application.
The following describes an infrared image face exposure method according to the present application with reference to the drawings. Fig. 2 is a schematic flowchart of an infrared image face exposure method according to an embodiment of the present application, where the method is applicable to the processor 105 in the infrared image face exposure system. As shown in fig. 2, the method may include:
s201, acquiring a face area in an infrared image acquired by an infrared camera.
Generally, when a target object is located in the collection range of an image collection device, an infrared camera on the image collection device can collect an infrared image containing the target object by combining units such as a projector and a floodlight, wherein the floodlight can supplement light for the target object to further enhance the illumination intensity, and the projector can project speckles to the target object. That is, the infrared image collected by the infrared camera corresponds to a speckle pattern, and the processor can identify the target object based on the speckle pattern, the preset reference image and the color image collected by the color camera.
After the infrared camera collects the infrared image, the application layer of the electronic equipment embedded with the image collecting equipment can identify the face area of the target object contained in the infrared image, and after the face area is identified, the face area can be sent to the processor, and then the processor can obtain the face area in the infrared image collected by the infrared camera.
S202, calculating the brightness of the face area in the infrared image.
The region framed by the face frame in the infrared image is generally used as a face region, the region framed by the face frame is extracted from the infrared image, the brightness value of each pixel point in the region is counted, and the brightness of the region can be obtained according to the brightness value of each pixel point.
Optionally, the brightness corresponding to the pixel point with the largest brightness value may be used as the brightness of the region, an average brightness value may also be obtained according to the brightness value of each pixel point, and the average brightness value is used as the brightness of the region.
S203, judging whether the brightness deviation between the brightness of the face area and the preset target brightness is within the preset brightness deviation range.
The processor may obtain the preset target brightness from the memory after calculating the brightness of the face region, calculate a brightness deviation between the brightness of the face region and the preset target brightness, and obtain an absolute value of the brightness deviation when the brightness deviation is a negative value. The preset brightness deviation can be set according to the requirement of recognition accuracy, generally, the preset brightness deviation is a range interval, the brightness deviation between the brightness of the face region and the preset target brightness is smaller than the minimum value in the range interval, and the brightness deviation between the brightness of the face region and the preset target brightness is smaller than the maximum value in the range interval, so that the recognition accuracy of the target object can be guaranteed.
And S204, if the brightness deviation is not within the preset brightness deviation range, adjusting the exposure parameters of the infrared camera.
And S205, exposing the face area in the infrared image according to the adjusted exposure parameters.
When the processor judges that the brightness deviation is smaller than the minimum value in the preset brightness deviation range or the brightness deviation is larger than the maximum value in the preset brightness deviation range, the fact that the brightness of the face region further meets a preset requirement is proved, the preset requirement means that the preset requirement is in the preset brightness deviation range, and the processor can specifically adjust exposure parameters according to the size relation between the brightness of the face region and preset target brightness. The exposure parameter may include an exposure time and/or a gain, and of course, may also include other parameters that affect the brightness of the face region, which is not limited in this application.
The purpose of adjusting the exposure parameters of the infrared camera is to enable the brightness of the face region to be closer to the preset target brightness, and when the brightness approaching degree of the face region after exposure by adopting the current exposure parameters meets the preset requirement, the current exposure parameters are proved to be the target exposure parameters.
To sum up, in the infrared image face exposure method provided by the present application, the method includes: acquiring a face area in an infrared image acquired by an infrared camera; calculating the brightness of the face area in the infrared image; judging whether the brightness deviation between the brightness of the face area and the preset target brightness is within a preset brightness deviation range or not; if the brightness deviation is not within the preset brightness deviation range, adjusting the exposure parameters of the infrared camera; and exposing the face area in the infrared image according to the adjusted exposure parameters. By adopting the infrared image face exposure method provided by the embodiment of the application, the relation between the brightness of the face area in the infrared image and the preset target brightness is focused, the exposure parameters of the infrared camera are adjusted through the relation, and finally the brightness of the face area in the infrared image meets the preset requirement. The phenomenon that exposure is carried out through the brightness of the whole infrared image in the prior art is avoided, and thus clear face images can be obtained when the target object is in a scene such as a backlight scene or a strong-forward-light scene.
Optionally, if the brightness deviation is not within the preset brightness deviation range, adjusting the exposure parameter of the infrared camera includes: if the brightness deviation is not within the preset brightness deviation range and the brightness of the face area is smaller than the preset target brightness, the exposure parameters of the infrared camera are improved; and if the brightness deviation is not within the preset brightness deviation range and the brightness of the face area is greater than the preset target brightness, reducing the exposure parameters of the infrared camera.
When the processor judges that the brightness of the face area is smaller than the preset target brightness and the smaller degree is not within the preset deviation range, the processor can take the preset target brightness as a reference to improve the exposure parameters of the infrared camera; similarly, when the processor judges that the brightness of the face area is greater than the preset target brightness and the degree of the greater brightness is not within the preset deviation range, the processor can reduce the exposure parameter of the infrared camera by taking the preset target brightness as a reference. In general, in any of the above cases, when adjusting the exposure parameters mainly including the exposure time and the gain, the exposure time is first adjusted, and if the brightness deviation between the brightness of the face region and the preset target brightness is within the preset brightness deviation range after the exposure time is adjusted, the gain does not need to be adjusted, so that the noise phenomenon in the face region can be avoided.
Optionally, the adjusting exposure parameters of the infrared camera includes: and adjusting the exposure parameters of the infrared camera according to preset unit exposure parameters until the brightness deviation between the brightness of the human face area in the infrared image exposed based on the adjusted exposure parameters and the preset target brightness is within the preset brightness deviation range.
Wherein, when the processor judges that the brightness deviation between the brightness of the current face area and the preset target brightness is not in the preset brightness deviation range, the exposure parameters of the infrared camera can be adjusted for the first time according to the preset unit exposure parameters, so that the infrared camera exposes the face area according to the adjusted exposure parameters, the processor then determines whether the brightness deviation between the brightness of the face region and the preset target brightness is within a preset brightness deviation range, if the brightness deviation is not within the preset brightness deviation range, continuously adjusting the exposure parameters of the infrared camera for the second time according to the preset unit exposure parameters to enable the infrared camera to expose the human face area according to the adjusted exposure parameters, and by analogy, the brightness deviation between the brightness of the face area and the preset target brightness is finally within the preset brightness deviation range.
Fig. 3 is a schematic flow chart of another infrared image face exposure method according to an embodiment of the present application. As shown in fig. 3, optionally, before the obtaining of the face region in the infrared image acquired by the infrared camera, the method may further include:
s301, if the application layer cannot recognize the face in the infrared image, acquiring the position of a face frame transmitted by the application layer, wherein the position of the face frame is obtained by the application layer through face recognition based on a color image acquired by a color camera.
S302, determining the surrounding area of the face frame in the infrared image as the face area according to the position of the face frame.
The application layer firstly carries out face recognition on the infrared image collected by the infrared camera and sends a recognition result to the processor. If the application layer can identify the face in the infrared image, sending a result that the face can be identified and the position (a start point coordinate and an end point coordinate) of the face in the infrared image to the processor, wherein the processor can determine the face area in the infrared image according to the position (a face frame) of the face; if the application layer can not identify the face in the infrared image, the result that the face can not be identified and the position (the initial point coordinate and the end point coordinate) of the face in the color image acquired by the color camera are sent to the processor, the processor can calculate the size of a face frame according to the position of the face in the color image, and then determine the area of the face in the infrared image acquired by the infrared camera according to the size of the face frame.
Therefore, the face area in the infrared image can be indirectly determined according to the position of the face in the color image, and when the application layer cannot identify the face area in the infrared image, the normal exposure of the face area in the infrared image can be ensured, so that correct face data can be obtained for depth information calculation.
Optionally, the acquiring a face region in an infrared image acquired by an infrared camera includes: if the application layer respectively identifies the human face from the infrared images of multiple frames continuously collected by the infrared camera, acquiring the human face area of each infrared image; and respectively calculating the brightness of the face area in each frame of infrared image to obtain the brightness of the target face.
The application layer can identify whether human faces exist in the multi-frame infrared images continuously collected by the infrared camera, when each frame of infrared image has a human face, the application layer can send the result to the processor, and the processor can obtain the human face area of each frame of infrared image according to the position of the human face in each frame of infrared image sent by the application layer.
The processor respectively counts the brightness values of the pixel points in the face area in each frame of infrared image, respectively calculates the brightness of the face area in each frame of infrared image according to the brightness values of the pixel points in the face area in each frame of infrared image, then solves the average face brightness according to the brightness of the face area in each frame of infrared image, and takes the average face brightness as the target face brightness. The number of frames of the infrared images continuously acquired may be 4, 5, or other, and the present application does not limit the number.
Therefore, the phenomenon that the processor exposes the infrared camera every time the infrared camera collects an infrared image can be avoided, and the phenomenon that the brightness is oscillated due to the fact that the scenes of the human face and the scenes of the non-human face are switched back and forth is avoided.
Fig. 4 is a schematic flow chart of another infrared image face exposure method according to an embodiment of the present application. As shown in fig. 4, optionally, the calculating the brightness of the face region in each frame of infrared image to obtain the target face brightness includes:
s401, carrying out grid division on the face area in each frame of infrared image to obtain a plurality of face grids.
S402, obtaining the brightness of the target face according to the average brightness of the face grids.
For one frame of infrared image, dividing a face region in the infrared image into a plurality of preset grids, respectively calculating the brightness value of each pixel point in each grid, taking the average brightness value of the pixel points as the brightness value of the grids, calculating the face region brightness in the infrared image according to the brightness value of each grid, wherein the solving process of the face region brightness in other frames of infrared images is similar to the description, and finally obtaining the target face brightness according to the face region brightness in each frame of infrared image. The processor adjusts exposure parameters of the infrared camera according to the target face brightness, the preset target brightness and the preset brightness deviation range, and exposes a face area in one frame of infrared image according to the adjusted exposure parameters, wherein the one frame of infrared image can be any one of the infrared images, and the application does not limit the frame of infrared image.
Fig. 5 is a schematic flow chart of another infrared image face exposure method according to an embodiment of the present application. As shown in fig. 5, optionally, before determining whether the luminance deviation between the luminance of the face region and the preset target luminance is within the preset luminance deviation range, the method further includes:
s501, acquiring a plurality of groups of infrared sample images.
Wherein, every group infrared sample image is a plurality of infrared sample images that this infrared camera was gathered in same position department, and different infrared image of group is the infrared sample image that this infrared camera was gathered respectively in different positions department, and different positions correspond different exposure parameters.
The sample object may be placed at different preset positions within the working range (e.g., 30cm-120cm) of the image capturing device, each corresponding to a different exposure parameter. The infrared camera carries out multiple exposure on the face area on the sample object by using the exposure parameters corresponding to the current position to obtain a plurality of infrared sample images, and the infrared sample images corresponding to the current position form a group of infrared sample images. Finally, a group of infrared sample images corresponding to each position can be obtained, namely, how many positions correspond to how many groups of infrared sample images.
S502, according to a preset brightness constraint condition, selecting a group of infrared sample images meeting the preset brightness constraint condition from the group of infrared sample images as target infrared sample images.
And S503, taking the brightness of the human face area in the target infrared sample image as the preset target brightness.
Here, a group of infrared sample images is taken as an example for description, the brightness of the face region in each infrared sample image in the group of infrared sample images is respectively calculated, the average brightness is obtained according to the brightness of the face region in each infrared sample image, and the average brightness is taken as the brightness corresponding to the group of infrared sample images. Similarly, the brightness corresponding to other groups of infrared sample images can also be obtained, the brightness corresponding to each group of infrared sample images is matched with a preset brightness constraint condition, the infrared sample images in the group of infrared sample images with the highest matching degree are respectively used as target sample images, and the brightness corresponding to the group of infrared sample images with the highest matching degree is used as the preset target brightness. The preset target brightness can be set according to actual requirements, and is not limited in the application.
Fig. 6 is a schematic structural diagram of an infrared image face exposure apparatus according to an embodiment of the present disclosure, where the apparatus is applicable to the processor 105 in the infrared image face exposure system. As shown in fig. 6, the apparatus may include:
the acquisition module 601 is used for acquiring a face area in an infrared image acquired by an infrared camera;
a calculating module 602, configured to calculate brightness of the face region in the infrared image;
a judging module 603, configured to judge whether a luminance deviation between the luminance of the face region and a preset target luminance is within a preset luminance deviation range;
an adjusting module 604, configured to adjust an exposure parameter of the infrared camera if the brightness deviation is not within the preset brightness deviation range;
the exposure module 605 is configured to expose the face region in the infrared image according to the adjusted exposure parameter.
Optionally, the adjusting module 604 is specifically configured to, if the brightness deviation is not within the preset brightness deviation range and the brightness of the face region is smaller than the preset target brightness, increase the exposure parameter of the infrared camera; if the brightness deviation is not within the preset brightness deviation range and the brightness of the face area is greater than the preset target brightness, the exposure parameters of the infrared camera are reduced.
Optionally, the adjusting module 604 is further specifically configured to adjust the exposure parameter of the infrared camera according to a preset unit exposure parameter until a brightness deviation between the brightness of the face area in the infrared image after exposure based on the adjusted exposure parameter and the preset target brightness is within the preset brightness deviation range.
Optionally, the obtaining module 601 is further configured to obtain a position of a face frame transmitted by the application layer if the application layer cannot recognize the face in the infrared image, where the position of the face frame is obtained by performing face recognition on the application layer based on a color image acquired by a color camera; and determining the surrounding area of the face frame in the infrared image as the face area according to the position of the face frame.
Optionally, the obtaining module 601 is specifically configured to obtain a face area of each frame of infrared image if the application layer identifies a face from multiple frames of infrared images continuously collected by the infrared camera;
correspondingly, the calculating module 602 is specifically configured to calculate the brightness of the face region in each frame of infrared image, so as to obtain the target face brightness.
Optionally, the calculating module 602 is further specifically configured to perform mesh division on the face area in each frame of infrared image to obtain a plurality of face meshes; and obtaining the brightness of the target face according to the average brightness of the face grids.
Optionally, the obtaining module 601 is further configured to obtain a plurality of sets of infrared sample images, where each set of infrared sample image includes: the infrared camera comprises a plurality of infrared sample images collected by the same position, different groups of infrared images are infrared sample images respectively collected by the infrared camera at different positions, and different positions correspond to different exposure parameters;
the device also comprises a selection module, a processing module and a display module, wherein the selection module is used for selecting a group of infrared sample images meeting the preset brightness constraint condition from the plurality of groups of infrared sample images as target infrared sample images according to the preset brightness constraint condition; and taking the brightness of the human face area in the target infrared sample image as the preset target brightness.
The above-mentioned apparatus is used for executing the method provided by the foregoing embodiment, and the implementation principle and technical effect are similar, which are not described herein again.
These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 7, the electronic device may be a mobile phone, a tablet computer, a wearable device, and the like. The electronic device may include: the processor 701, the storage medium 702 and the bus 703, the storage medium 702 stores machine-readable instructions executable by the processor 701, when the electronic device operates, the processor 701 communicates with the storage medium 702 through the bus 703, and the processor 701 executes the machine-readable instructions to execute the steps of the infrared image human face exposure method. The specific implementation and technical effects are similar, and are not described herein again.
Optionally, the present application further provides a storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the infrared image face exposure method are executed.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. Alternatively, the indirect coupling or communication connection of devices or units may be electrical, mechanical or other.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to perform some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. An infrared image face exposure method is characterized by comprising the following steps:
acquiring a face area in an infrared image acquired by an infrared camera;
calculating the brightness of the face area in the infrared image;
judging whether the brightness deviation between the brightness of the face area and a preset target brightness is within a preset brightness deviation range or not;
if the brightness deviation is not within the preset brightness deviation range, adjusting exposure parameters of the infrared camera;
and exposing the face area in the infrared image according to the adjusted exposure parameters.
2. The method according to claim 1, wherein if the brightness deviation is not within the preset brightness deviation range, adjusting the exposure parameters of the infrared camera comprises:
if the brightness deviation is not within the preset brightness deviation range and the brightness of the face area is smaller than the preset target brightness, the exposure parameters of the infrared camera are improved;
and if the brightness deviation is not within the preset brightness deviation range and the brightness of the face area is greater than the preset target brightness, reducing the exposure parameters of the infrared camera.
3. The method of claim 1, wherein the adjusting exposure parameters of the infrared camera comprises:
and adjusting the exposure parameters of the infrared camera according to preset unit exposure parameters until the brightness deviation between the brightness of the human face area in the infrared image exposed based on the adjusted exposure parameters and the preset target brightness is within the preset brightness deviation range.
4. The method of claim 1, wherein before the obtaining the face region in the infrared image captured by the infrared camera, the method further comprises:
if the application layer cannot identify the face in the infrared image, acquiring the position of a face frame transmitted by the application layer, wherein the position of the face frame is obtained by the application layer through face identification based on a color image acquired by a color camera;
and determining the surrounding area of the face frame in the infrared image as the face area according to the position of the face frame.
5. The method according to claim 1, wherein the acquiring the face region in the infrared image acquired by the infrared camera comprises:
if the application layer respectively identifies the human face from a plurality of frames of infrared images continuously collected by the infrared camera, acquiring the human face area of each frame of infrared image;
the calculating the brightness of the face region in the infrared image comprises:
and respectively calculating the brightness of the face area in each frame of the infrared image to obtain the brightness of the target face.
6. The method of claim 5, wherein said calculating the brightness of the face region in the infrared image of each frame to obtain the target face brightness comprises:
carrying out grid division on the face area in each frame of the infrared image to obtain a plurality of face grids;
and obtaining the brightness of the target face according to the average brightness of the face grids.
7. The method according to any one of claims 1 to 6, wherein before determining whether a luminance deviation between the luminance of the face region and a preset target luminance is within a preset luminance deviation range, the method further comprises:
acquiring a plurality of groups of infrared sample images, wherein each group of infrared sample image comprises: the infrared camera comprises a plurality of infrared sample images collected by the infrared camera at the same position, different groups of infrared images are infrared sample images collected by the infrared camera at different positions respectively, and different positions correspond to different exposure parameters;
selecting a group of infrared sample images meeting a preset brightness constraint condition from the multiple groups of infrared sample images as target infrared sample images according to a preset brightness constraint condition;
and taking the brightness of the human face area in the target infrared sample image as the preset target brightness.
8. An infrared image human face exposure device, characterized in that, the device includes:
the acquisition module is used for acquiring a face area in an infrared image acquired by the infrared camera;
the computing module is used for computing the brightness of the face area in the infrared image;
the judging module is used for judging whether the brightness deviation between the brightness of the face area and the preset target brightness is within a preset brightness deviation range or not;
the adjusting module is used for adjusting the exposure parameters of the infrared camera if the brightness deviation is not within the preset brightness deviation range;
and the exposure module is used for exposing the face area in the infrared image according to the adjusted exposure parameters.
9. An electronic device, comprising: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the electronic device runs, the processor and the storage medium communicate through the bus, and the processor executes the machine-readable instructions to execute the steps of the infrared image face exposure method according to any one of claims 1 to 7.
10. A storage medium having stored thereon a computer program for performing the steps of the infrared image face exposure method according to any one of claims 1 to 7 when executed by a processor.
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