CN112511749A - Automatic exposure control method and device for target object and electronic equipment - Google Patents
Automatic exposure control method and device for target object and electronic equipment Download PDFInfo
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- CN112511749A CN112511749A CN202011374277.2A CN202011374277A CN112511749A CN 112511749 A CN112511749 A CN 112511749A CN 202011374277 A CN202011374277 A CN 202011374277A CN 112511749 A CN112511749 A CN 112511749A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/63—Control of cameras or camera modules by using electronic viewfinders
- H04N23/631—Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters
- H04N23/632—Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters for displaying or modifying preview images prior to image capturing, e.g. variety of image resolutions or capturing parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/76—Circuitry for compensating brightness variation in the scene by influencing the image signals
Abstract
The present disclosure provides a method for automatic exposure control of a target object, comprising: judging whether a target object exists in a pre-acquired image displayed by an image acquisition device or not; if the target object exists, acquiring a position area of the target object in the pre-acquired image; and displaying a region other than the position region of the target object of the pre-acquired image at a first exposure amount, the second exposure amount being greater than the first exposure amount. The present disclosure also provides an automatic exposure amount control apparatus of a target object, an electronic device, and a readable storage medium.
Description
Technical Field
The present disclosure relates to image exposure control technologies, and in particular, to an automatic exposure control method and apparatus for a target object, an electronic device, and a storage medium.
Background
When a camera such as a handheld three-axis pan-tilt camera is used for taking a portrait in a backlight mode, due to the fact that the brightness of the background environment is high, the brightness of a face area is dark due to a common automatic exposure weight table, and skin color is dark, dull and not attractive. In recent years, the requirements of consumers on the beautifying effect of images are continuously improved, and the post-processing algorithm is influenced by the performance of the embedded platform and cannot meet the requirements of users.
Disclosure of Invention
In order to solve at least one of the above technical problems, the present disclosure provides an automatic exposure amount control method of a target object, an apparatus, an electronic device, and a storage medium.
According to an aspect of the present disclosure, there is provided an automatic exposure control method of a target object, including:
judging whether a target object exists in a pre-acquired image displayed by an image acquisition device or not;
if the target object exists, acquiring a position area of the target object in the pre-acquired image; and
displaying at a second exposure amount a location region of the target object, and displaying at a first exposure amount a region other than the location region of the target object of the pre-acquired image, the second exposure amount being greater than the first exposure amount.
According to the automatic exposure control method of the target object of at least one embodiment of the disclosure, before judging whether the target object exists in the pre-acquired image displayed by the image acquisition device, the image acquisition device performs weighting processing on the exposure of each region of the pre-acquired image by using a preset region exposure weight matrix and then displays the exposure with a first exposure.
According to the automatic exposure control method of the target object of at least one embodiment of the present disclosure, judging whether the target object exists in the pre-acquired image displayed by the image acquisition device includes:
and judging whether the target object exists in the pre-acquired image displayed by the image acquisition device or not by using the target object recognition model.
According to the automatic exposure control method of the target object of at least one embodiment of the present disclosure, acquiring a position region of the target object in the pre-acquired image includes:
and acquiring a position area of the target object in the pre-acquired image by using a target object position area acquisition model.
According to at least one embodiment of the present disclosure, an automatic exposure amount control method of a target object, which displays a location region of the target object at a second exposure amount and displays a region other than the location region of the target object of the pre-captured image at a first exposure amount, includes:
adjusting a preset regional exposure weight matrix based on the position region of the target object, and generating an adjusted regional exposure weight matrix, so that the weight value of the position region, corresponding to the target object, of the adjusted regional exposure weight matrix is greater than the weight value of a region, corresponding to the pre-acquired image, outside the position region of the target object.
According to at least one embodiment of the present disclosure, an automatic exposure amount control method of a target object, which displays a location region of the target object at a second exposure amount and displays a region other than the location region of the target object of the pre-captured image at a first exposure amount, includes:
acquiring the brightness value of the position area of the target object, and if the brightness value of the position area of the target object is smaller than a preset brightness threshold value, displaying the position area of the target object with a second exposure amount, and displaying the position area of the target object outside the position area of the target object with a first exposure amount of the pre-acquired image.
According to the automatic exposure control method of the target object, the target object is a human face.
According to the automatic exposure control method of the target object of at least one embodiment of the present disclosure, the target object recognition model is a human face recognition model.
According to the automatic exposure amount control method of the target object of at least one embodiment of the present disclosure, the target object position region acquisition model is a face position region acquisition model.
According to at least one embodiment of the present disclosure, a method for automatic exposure control of a target object, which is a dynamic object, is provided.
According to the automatic exposure control method of the target object of at least one embodiment of the present disclosure, the target object recognition model is a dynamic object recognition model.
According to the automatic exposure amount control method of the target object of at least one embodiment of the present disclosure, the target object position region acquisition model is a dynamic object position region acquisition model.
According to another aspect of the present disclosure, there is provided an automatic exposure amount control apparatus of a target object, including:
a target object recognition module that recognizes a target object to determine whether the target object exists in a pre-acquired image displayed by an image acquisition device;
a position area acquisition module, wherein if a target object exists, the position area acquisition module acquires a position area of the target object in the pre-acquired image; and
an exposure amount adjustment module that adjusts an exposure amount such that an image capturing device displays a position region of the target object with a second exposure amount that is larger than the first exposure amount, and displays a region other than the position region of the target object of the pre-captured image with a first exposure amount.
An automatic exposure amount control apparatus of a target object according to at least one embodiment of the present disclosure, further comprising:
and the regional exposure weight matrix module is used for weighting the exposure of each region of the pre-acquired image by the image acquisition device according to a preset regional exposure weight matrix stored by the regional exposure weight matrix module and then displaying the exposure with a first exposure before the target object identification module judges whether the target object exists in the pre-acquired image displayed by the image acquisition device.
According to at least one embodiment of the present disclosure, an automatic exposure amount control apparatus for a target object, the target object recognition module recognizing the target object to determine whether the target object exists in a pre-captured image displayed by an image capturing device, includes:
the target object recognition module judges whether a target object exists in a pre-acquired image displayed by the image acquisition device by using a target object recognition model.
According to an automatic exposure amount control apparatus of a target object of at least one embodiment of the present disclosure, the position region acquisition module acquires a position region of the target object in the pre-acquired image, including:
the position area acquisition module acquires a position area of the target object in the pre-acquired image by using a target object position area acquisition model.
The automatic exposure control device of the target object according to at least one embodiment of the present disclosure further includes a regional exposure weight matrix adjusting module that adjusts a preset regional exposure weight matrix based on a position region of the target object, and generates an adjusted regional exposure weight matrix such that a weight value of a position region of the adjusted regional exposure weight matrix corresponding to the target object is greater than a weight value of a region other than the position region of the target object corresponding to the pre-acquired image;
the exposure amount adjusting module adjusts the exposure amount based on the adjusted regional exposure amount weight matrix.
The automatic exposure amount control device of a target object according to at least one embodiment of the present disclosure further includes a luminance value acquisition module that acquires a luminance value of a position region of the target object, and if the luminance value of the position region of the target object is smaller than a preset luminance threshold value, the exposure amount adjustment module displays a second exposure amount for the position region of the target object based on the adjusted regional exposure amount weight matrix, and displays a first exposure amount for a region other than the position region of the target object of the pre-acquired image.
According to the automatic exposure control device of the target object, the target object is a human face.
According to the automatic exposure control device of the target object of at least one embodiment of the present disclosure, the target object recognition model is a human face recognition model.
According to the automatic exposure amount control apparatus of the target object of at least one embodiment of the present disclosure, the target object position region acquisition model is a face position region acquisition model.
An automatic exposure control apparatus of a target object according to at least one embodiment of the present disclosure, the target object being a dynamic object.
According to the automatic exposure control apparatus of the target object of at least one embodiment of the present disclosure, the target object recognition model is a dynamic object recognition model.
According to the automatic exposure amount control apparatus of a target object of at least one embodiment of the present disclosure, the target object position region acquisition model is a dynamic object position region acquisition model.
According to yet another aspect of the present disclosure, there is provided an electronic device including: a memory storing execution instructions; and a processor executing execution instructions stored by the memory to cause the processor to perform any of the methods described above.
According to yet another aspect of the present disclosure, there is provided a readable storage medium having stored therein execution instructions for implementing any of the above methods when executed by a processor.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the disclosure and together with the description serve to explain the principles of the disclosure.
Fig. 1 is a flowchart illustrating an automatic exposure control method for a target object according to an embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating an automatic exposure control method for a target object according to still another embodiment of the present disclosure.
Fig. 3 is a schematic configuration diagram of an electronic apparatus having an automatic exposure amount control device of a target object of the present disclosure according to an embodiment of the present disclosure.
Fig. 4 is a schematic configuration diagram of an electronic apparatus having an automatic exposure amount control apparatus of a target object of the present disclosure according to still another embodiment of the present disclosure.
Fig. 5 is a schematic configuration diagram of an electronic apparatus having an automatic exposure amount control apparatus of a target object of the present disclosure according to still another embodiment of the present disclosure.
Fig. 6 is a schematic configuration diagram of an electronic apparatus having an automatic exposure amount control apparatus of a target object of the present disclosure according to still another embodiment of the present disclosure.
Description of the reference numerals
1000 electronic device
1002 target object identification module
1004 position area acquisition module
1006 exposure adjusting module
1008 region exposure weight matrix module
1010 area exposure weight matrix adjusting module
1012 brightness value acquisition module
1100 bus
1200 processor
1300 memory
1400 and other circuits.
Detailed Description
The present disclosure will be described in further detail with reference to the drawings and embodiments. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not to be construed as limitations of the present disclosure. It should be further noted that, for the convenience of description, only the portions relevant to the present disclosure are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. Technical solutions of the present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Unless otherwise indicated, the illustrated exemplary embodiments/examples are to be understood as providing exemplary features of various details of some ways in which the technical concepts of the present disclosure may be practiced. Accordingly, unless otherwise indicated, features of the various embodiments may be additionally combined, separated, interchanged, and/or rearranged without departing from the technical concept of the present disclosure.
The use of cross-hatching and/or shading in the drawings is generally used to clarify the boundaries between adjacent components. As such, unless otherwise noted, the presence or absence of cross-hatching or shading does not convey or indicate any preference or requirement for a particular material, material property, size, proportion, commonality between the illustrated components and/or any other characteristic, attribute, property, etc., of a component. Further, in the drawings, the size and relative sizes of components may be exaggerated for clarity and/or descriptive purposes. While example embodiments may be practiced differently, the specific process sequence may be performed in a different order than that described. For example, two processes described consecutively may be performed substantially simultaneously or in reverse order to that described. In addition, like reference numerals denote like parts.
When an element is referred to as being "on" or "on," "connected to" or "coupled to" another element, it can be directly on, connected or coupled to the other element or intervening elements may be present. However, when an element is referred to as being "directly on," "directly connected to" or "directly coupled to" another element, there are no intervening elements present. For purposes of this disclosure, the term "connected" may refer to physically, electrically, etc., and may or may not have intermediate components.
The terminology used herein is for the purpose of describing particular embodiments and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Furthermore, when the terms "comprises" and/or "comprising" and variations thereof are used in this specification, the presence of stated features, integers, steps, operations, elements, components and/or groups thereof are stated but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof. It is also noted that, as used herein, the terms "substantially," "about," and other similar terms are used as approximate terms and not as degree terms, and as such, are used to interpret inherent deviations in measured values, calculated values, and/or provided values that would be recognized by one of ordinary skill in the art.
Fig. 1 is a flowchart illustrating an automatic exposure control method for a target object according to an embodiment of the present disclosure.
As shown in fig. 1, the automatic exposure control method 100 of a target object includes:
102. judging whether a target object exists in a pre-acquired image displayed by an image acquisition device or not;
104. if the target object exists, acquiring a position area of the target object in the pre-acquired image; and
106. the position region of the target object is displayed at a second exposure amount, and a region other than the position region of the target object of the pre-acquired image is displayed at a first exposure amount, the second exposure amount being greater than the first exposure amount.
The automatic exposure amount control method for the target object can solve the technical problems of blackening and dullness of the target object such as a human face and the like caused by backlight shooting by identifying the target object in a pre-acquired image (an image displayed on a screen of a mobile phone or a camera) displayed by an image acquisition device (such as the mobile phone or the camera) to adjust the exposure amount of the position area of the target object.
Especially, the performance of the embedded platform of the three-axis pan-tilt camera is poor compared with the performance of mobile devices such as mobile phones, and the beautifying algorithm generally used on the mobile devices such as mobile phones cannot be applied to the three-axis pan-tilt camera.
In the above embodiments, the target object may be a human face or other dynamic object.
Fig. 2 is a flowchart illustrating an automatic exposure control method for a target object according to an embodiment of the present disclosure.
As shown in fig. 2, the automatic exposure control method 100 of the target object includes:
101. the image acquisition device performs weighting processing on the exposure of each region of the pre-acquired image by using a preset region exposure weight matrix and then displays the exposure with a first exposure;
102. judging whether a target object exists in a pre-acquired image displayed by an image acquisition device or not;
104. if the target object exists, acquiring a position area of the target object in the pre-acquired image; and
106. the position region of the target object is displayed at a second exposure amount, and a region other than the position region of the target object of the pre-acquired image is displayed at a first exposure amount, the second exposure amount being greater than the first exposure amount.
In the automatic exposure amount control method for a target object of each of the above embodiments, preferably, the determining whether the target object exists in the pre-captured image displayed by the image capturing apparatus includes:
and judging whether the target object exists in the pre-acquired image displayed by the image acquisition device or not by using the target object recognition model.
In the automatic exposure amount control method for a target object of the above-described respective embodiments, preferably, acquiring a position region of the target object in the pre-acquisition image includes:
and acquiring the position area of the target object in the pre-acquired image by using the target object position area acquisition model.
In the above embodiment, preferably, the target object recognition model is a face recognition model. The face recognition model can adopt a face recognition model in the prior art.
In the above embodiment, the target object position region acquisition model is a face position region acquisition model. The face position region acquisition model in the prior art can be adopted.
In the above embodiment, the target object recognition model is a dynamic object recognition model. The dynamic object recognition model may be a dynamic object recognition model in the prior art.
In the above embodiment, the target object position region acquisition model is a dynamic object position region acquisition model. The dynamic object position region acquisition model in the prior art can be selected as the dynamic object position region acquisition model.
According to a preferred embodiment of the present disclosure, an automatic exposure amount control method of a target object, which displays a location region of the target object at a second exposure amount and displays a region other than the location region of the target object of a pre-captured image at a first exposure amount, includes:
and adjusting the preset regional exposure weight matrix based on the position region of the target object, and generating the adjusted regional exposure weight matrix, so that the weight value of the position region, corresponding to the target object, of the adjusted regional exposure weight matrix is greater than the weight value of the region, corresponding to the pre-acquired image, outside the position region of the target object.
In the above embodiment, the area exposure amount weight matrix may be in the form of an automatic exposure area exposure amount weight table (i.e., AE weight table).
The automatic exposure amount control method for the target object in each of the above embodiments will be described with a human face as the target object.
Judging whether a face exists in the image or not; when the face exists in the image, acquiring a position area of the face in the image; based on the position area of the face, the AE weight table is adjusted, for example, the weight value of the area other than the position area corresponding to the face in the AE weight table is set to a first value, and the weight value of the position area corresponding to the face in the AE weight table is set to a second value, where the second value is greater than the first value.
The position area of the face is preferably determined as a rectangular area.
For example, with the AE weight table, the weight value of the position region of the face is set to n +1 (i.e., the second value), and the weight value of the region outside the position region of the face is set to n (i.e., the first value). Thereby generating an adjusted AE weight table.
According to a preferred embodiment of the present disclosure, an automatic exposure amount control method of a target object, which displays a location region of the target object at a second exposure amount and displays a region other than the location region of the target object of a pre-captured image at a first exposure amount, includes:
acquiring the brightness value of the position area of the target object, and if the brightness value of the position area of the target object is smaller than a preset brightness threshold value, displaying the position area of the target object at a second exposure amount, and displaying the position area of the target object outside the position area of the target object of the pre-acquired image at a first exposure amount.
In the above embodiment, the first exposure amount corresponds to the first value, and the second exposure amount corresponds to the second value.
Fig. 3 is a schematic configuration diagram of an electronic apparatus 1000 having an automatic exposure amount control apparatus of a target object of the present disclosure according to an embodiment of the present disclosure.
As shown in fig. 3, the automatic exposure amount control apparatus of a target object includes:
a target object recognition module 1002, wherein the target object recognition module 1002 recognizes a target object to determine whether the target object exists in a pre-acquired image displayed by the image acquisition apparatus;
a position area obtaining module 1004, if the target object exists, the position area obtaining module 1004 obtains a position area of the target object in the pre-obtained image;
the exposure amount adjusting module 1006 adjusts the exposure amount, so that the image capturing device displays the position region of the target object with a second exposure amount, and displays the region outside the position region of the target object of the pre-captured image with a first exposure amount, wherein the second exposure amount is larger than the first exposure amount.
Fig. 4 is a schematic configuration diagram of an electronic apparatus 1000 having an automatic exposure amount control apparatus of a target object of the present disclosure according to still another embodiment of the present disclosure.
As shown in fig. 4, the automatic exposure amount control apparatus of a target object includes:
a target object recognition module 1002, wherein the target object recognition module 1002 recognizes a target object to determine whether the target object exists in a pre-acquired image displayed by the image acquisition apparatus;
a position area obtaining module 1004, if the target object exists, the position area obtaining module 1004 obtains a position area of the target object in the pre-obtained image;
an exposure amount adjusting module 1006, wherein the exposure amount adjusting module 1006 adjusts the exposure amount, so that the image capturing device displays a second exposure amount for the position region of the target object, and displays a first exposure amount for a region outside the position region of the target object of the pre-captured image, and the second exposure amount is larger than the first exposure amount;
the regional exposure weight matrix module 1008 is configured to, before the target object recognition module 1002 determines whether the target object exists in the pre-acquired image displayed by the image acquisition apparatus, perform weighting processing on the exposure of each region of the pre-acquired image by using the preset regional exposure weight matrix stored by the regional exposure weight matrix module 1008, and then display the exposure with the first exposure.
The automatic exposure control device for a target object according to each of the above embodiments, preferably, the target object recognition module 1002 recognizes the target object to determine whether the target object exists in the pre-captured image displayed by the image capturing device, including:
the target object recognition module 1002 determines whether a target object exists in a pre-captured image displayed by an image capturing apparatus using a target object recognition model.
In the automatic exposure amount control apparatus for a target object according to each of the above embodiments, preferably, the position region acquiring module 1004 acquires a position region of the target object in the pre-acquired image, and includes:
the position region acquisition module 1004 acquires a position region of the target object in the pre-acquisition image using the target object position region acquisition model.
Fig. 5 is a schematic configuration diagram of an electronic apparatus 1000 having an automatic exposure amount control apparatus of a target object of the present disclosure according to still another embodiment of the present disclosure.
As shown in fig. 5, the automatic exposure amount control apparatus of a target object includes:
a target object recognition module 1002, wherein the target object recognition module 1002 recognizes a target object to determine whether the target object exists in a pre-acquired image displayed by the image acquisition apparatus;
a position area obtaining module 1004, if the target object exists, the position area obtaining module 1004 obtains a position area of the target object in the pre-obtained image;
an exposure amount adjusting module 1006, wherein the exposure amount adjusting module 1006 adjusts the exposure amount, so that the image capturing device displays a second exposure amount for the position region of the target object, and displays a first exposure amount for a region outside the position region of the target object of the pre-captured image, and the second exposure amount is larger than the first exposure amount;
a regional exposure weight matrix module 1008, before the target object recognition module 1002 judges whether a target object exists in the pre-acquired image displayed by the image acquisition apparatus, the image acquisition apparatus performs weighting processing on the exposure of each region of the pre-acquired image by using a preset regional exposure weight matrix stored by the regional exposure weight matrix module 1008, and then displays the exposure with a first exposure;
a regional exposure weight matrix adjustment module 1010, wherein the regional exposure weight matrix adjustment module 1010 adjusts a preset regional exposure weight matrix based on a position region of a target object to generate an adjusted regional exposure weight matrix, so that a weight value of a position region of the adjusted regional exposure weight matrix corresponding to the target object is greater than a weight value of a region outside the position region of the target object corresponding to the pre-acquired image;
the exposure adjustment module 1006 adjusts the exposure based on the adjusted regional exposure weight matrix.
Fig. 6 is a schematic configuration diagram of an electronic apparatus 1000 having an automatic exposure amount control apparatus of a target object of the present disclosure according to still another embodiment of the present disclosure.
As shown in fig. 6, the automatic exposure amount control apparatus of a target object includes:
a target object recognition module 1002, wherein the target object recognition module 1002 recognizes a target object to determine whether the target object exists in a pre-acquired image displayed by the image acquisition apparatus;
a position area obtaining module 1004, if the target object exists, the position area obtaining module 1004 obtains a position area of the target object in the pre-obtained image;
an exposure amount adjusting module 1006, wherein the exposure amount adjusting module 1006 adjusts the exposure amount, so that the image capturing device displays a second exposure amount for the position region of the target object, and displays a first exposure amount for a region outside the position region of the target object of the pre-captured image, and the second exposure amount is larger than the first exposure amount;
a regional exposure weight matrix module 1008, before the target object recognition module 1002 judges whether a target object exists in the pre-acquired image displayed by the image acquisition apparatus, the image acquisition apparatus performs weighting processing on the exposure of each region of the pre-acquired image by using a preset regional exposure weight matrix stored by the regional exposure weight matrix module 1008, and then displays the exposure with a first exposure;
a regional exposure weight matrix adjustment module 1010, wherein the regional exposure weight matrix adjustment module 1010 adjusts a preset regional exposure weight matrix based on a position region of a target object to generate an adjusted regional exposure weight matrix, so that a weight value of a position region of the adjusted regional exposure weight matrix corresponding to the target object is greater than a weight value of a region outside the position region of the target object corresponding to the pre-acquired image;
the exposure adjustment module 1006 adjusts the exposure based on the adjusted regional exposure weight matrix.
And a brightness value acquisition module 1012, wherein the brightness value acquisition module 1012 acquires a brightness value of the position region of the target object, and if the brightness value of the position region of the target object is smaller than a preset brightness threshold, the exposure amount adjustment module 1006 displays the position region of the target object with a second exposure amount and displays the region outside the position region of the target object of the pre-acquired image with a first exposure amount based on the adjusted regional exposure amount weight matrix.
The electronic device 1000 in fig. 3-6 may also include corresponding modules that perform each or several of the steps of the methods described above. Thus, each step or several steps of the above-described method may be performed by a respective module, and the electronic device 1000 may comprise one or more of these modules. The modules may be one or more hardware modules specifically configured to perform the respective steps, or implemented by a processor configured to perform the respective steps, or stored within a computer-readable medium for implementation by a processor, or by some combination.
The electronic device 1000 may be implemented using a bus architecture. The bus architecture may include any number of interconnecting buses and bridges depending on the specific application of the hardware and the overall design constraints. The bus 1100 couples various circuits including the one or more processors 1200, the memory 1300, and/or the hardware modules together. The bus 1100 may also connect various other circuits 1400, such as peripherals, voltage regulators, power management circuits, external antennas, and the like.
The bus 1100 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one connection line is shown, but no single bus or type of bus is shown.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present disclosure includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the implementations of the present disclosure. The processor performs the various methods and processes described above. For example, method embodiments in the present disclosure may be implemented as a software program tangibly embodied in a machine-readable medium, such as a memory. In some embodiments, some or all of the software program may be loaded and/or installed via memory and/or a communication interface. When the software program is loaded into memory and executed by a processor, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the processor may be configured to perform one of the methods described above by any other suitable means (e.g., by means of firmware).
The logic and/or steps represented in the flowcharts or otherwise described herein may be embodied in any readable storage 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 "readable storage 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 readable storage medium include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (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 read-only memory (CDROM). In addition, the readable storage medium may even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in the memory.
It should be understood that portions of the present disclosure may be implemented in hardware, software, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps of the method implementing the above embodiments may be implemented by hardware that is instructed to implement by a program, which may be stored in a readable storage medium, and when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a readable storage medium. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
The present disclosure also provides an electronic device, including: a memory storing execution instructions; and a processor or other hardware module that executes the execution instructions stored by the memory, causing the processor or other hardware module to perform the above-described methods.
The present disclosure also provides a readable storage medium having stored therein execution instructions, which when executed by a processor, are used to implement the above-mentioned method.
In the description herein, reference to the description of the terms "one embodiment/implementation," "some embodiments/implementations," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment/implementation or example is included in at least one embodiment/implementation or example of the present application. In this specification, the schematic representations of the terms described above are not necessarily the same embodiment/mode or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments/modes or examples. Furthermore, the various embodiments/aspects or examples and features of the various embodiments/aspects or examples described in this specification can be combined and combined by one skilled in the art without conflicting therewith.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
It will be understood by those skilled in the art that the foregoing embodiments are merely for clarity of illustration of the disclosure and are not intended to limit the scope of the disclosure. Other variations or modifications may occur to those skilled in the art, based on the foregoing disclosure, and are still within the scope of the present disclosure.
Claims (10)
1. A method of automatic exposure control of a target object, comprising:
judging whether a target object exists in a pre-acquired image displayed by an image acquisition device or not;
if the target object exists, acquiring a position area of the target object in the pre-acquired image; and
displaying at a second exposure amount a location region of the target object, and displaying at a first exposure amount a region other than the location region of the target object of the pre-acquired image, the second exposure amount being greater than the first exposure amount.
2. The method of claim 1, wherein the image capturing device performs a weighting process on the exposure of each region of the pre-captured image with a preset region exposure weighting matrix and then displays the exposure with a first exposure before determining whether the target object exists in the pre-captured image displayed by the image capturing device.
3. The automatic exposure control method of a target object according to claim 1 or 2, wherein determining whether the target object is present in the pre-captured image displayed by the image capturing device comprises:
and judging whether the target object exists in the pre-acquired image displayed by the image acquisition device or not by using the target object recognition model.
4. The automatic exposure control method of a target object according to claim 1 or 2, wherein acquiring a position region of the target object in the pre-acquired image includes:
and acquiring a position area of the target object in the pre-acquired image by using a target object position area acquisition model.
5. An automatic exposure control apparatus of a target object, characterized by comprising:
a target object recognition module that recognizes a target object to determine whether the target object exists in a pre-acquired image displayed by an image acquisition device;
a position area acquisition module, wherein if a target object exists, the position area acquisition module acquires a position area of the target object in the pre-acquired image; and
an exposure amount adjustment module that adjusts an exposure amount such that an image capturing device displays a position region of the target object with a second exposure amount that is larger than the first exposure amount, and displays a region other than the position region of the target object of the pre-captured image with a first exposure amount.
6. The apparatus for controlling an amount of automatic exposure of a target object according to claim 5, further comprising:
and the regional exposure weight matrix module is used for weighting the exposure of each region of the pre-acquired image by the image acquisition device according to a preset regional exposure weight matrix stored by the regional exposure weight matrix module and then displaying the exposure with a first exposure before the target object identification module judges whether the target object exists in the pre-acquired image displayed by the image acquisition device.
7. The apparatus according to claim 5 or 6, wherein the target object recognition module recognizes the target object to determine whether the target object exists in the pre-captured image displayed by the image capturing apparatus, and comprises:
the target object recognition module judges whether a target object exists in a pre-acquired image displayed by the image acquisition device by using a target object recognition model.
8. The apparatus according to claim 5 or 6, wherein the position region acquiring module acquires a position region of the target object in the pre-acquired image, and includes:
the position area acquisition module acquires a position area of the target object in the pre-acquired image by using a target object position area acquisition model.
9. An electronic device, comprising:
a memory storing execution instructions; and
a processor executing execution instructions stored by the memory to cause the processor to perform any of the methods described above.
10. A readable storage medium, wherein an execution instruction is stored in the readable storage medium, and the execution instruction is executed by a processor to realize the method of any one of the above.
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