WO2020024112A1 - 一种拍摄处理方法、设备及存储介质 - Google Patents

一种拍摄处理方法、设备及存储介质 Download PDF

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Publication number
WO2020024112A1
WO2020024112A1 PCT/CN2018/097805 CN2018097805W WO2020024112A1 WO 2020024112 A1 WO2020024112 A1 WO 2020024112A1 CN 2018097805 W CN2018097805 W CN 2018097805W WO 2020024112 A1 WO2020024112 A1 WO 2020024112A1
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WO
WIPO (PCT)
Prior art keywords
shooting
sharpness
key point
evaluation function
image
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Application number
PCT/CN2018/097805
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English (en)
French (fr)
Inventor
孟国涛
封旭阳
Original Assignee
深圳市大疆创新科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
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Application filed by 深圳市大疆创新科技有限公司 filed Critical 深圳市大疆创新科技有限公司
Priority to PCT/CN2018/097805 priority Critical patent/WO2020024112A1/zh
Priority to CN201880037136.6A priority patent/CN110731076A/zh
Publication of WO2020024112A1 publication Critical patent/WO2020024112A1/zh
Priority to US17/154,875 priority patent/US20210144295A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • 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
    • H04N23/62—Control of parameters via user interfaces
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • 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
    • G06V40/168—Feature extraction; Face representation
    • G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • 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
    • 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
    • H04N23/667—Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes
    • 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
    • H04N23/72—Combination of two or more compensation controls
    • 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
    • H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
    • 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
    • H04N23/75—Circuitry for compensating brightness variation in the scene by influencing optical camera components
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80—Camera processing pipelines; Components thereof
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20021—Dividing image into blocks, subimages or windows
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20092—Interactive image processing based on input by user
    • G06T2207/20104—Interactive definition of region of interest [ROI]
    • 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
    • G06T2207/30168—Image quality inspection
    • 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

Definitions

  • the present invention relates to the field of control technology, and in particular, to a shooting processing method, device, and storage medium.
  • Embodiments of the present invention provide a shooting processing method, device, and storage medium, which can improve the quality of a captured image.
  • an embodiment of the present invention provides a shooting processing method, including:
  • the sharpness information of the key point does not satisfy the sharpness condition, adjusting shooting parameters of the shooting device.
  • the quality of images taken by the shooting device is improved.
  • an embodiment of the present invention provides a photographing processing device, including a memory and a processor;
  • the memory is used to store program instructions
  • the processor executes program instructions stored in the memory.
  • the processor executes program instructions stored in the memory.
  • the processor executes program instructions stored in the memory.
  • the processor executes program instructions stored in the memory.
  • the sharpness information of the key point does not satisfy the sharpness condition, adjusting shooting parameters of the shooting device.
  • the quality of images taken by the shooting device is improved.
  • an embodiment of the present invention provides a computer-readable storage medium.
  • the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the shooting processing method according to the first aspect is implemented. By adjusting the shooting parameters of the shooting device, the quality of images taken by the shooting device is improved.
  • the photographing processing device may receive a photographed image collected by the photographing device to capture a target object, acquire key points of the photographed image, and determine whether the sharpness information of the key points meets a clear condition. If the sharpness information of the key points does not satisfy the sharpness condition, the shooting parameters of the shooting device may be adjusted. By adjusting the shooting parameters of the shooting device, the quality of images taken by the shooting device is improved.
  • FIG. 1 is a schematic structural diagram of a shooting processing system according to an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of a shooting processing method according to an embodiment of the present invention.
  • FIG. 3a is a schematic interface diagram of key points of a captured image according to an embodiment of the present invention.
  • 3b is a schematic diagram of an interface of a key point of a target image area according to an embodiment of the present invention.
  • 3c is a schematic diagram of an interface for determining a target image area according to an embodiment of the present invention.
  • FIG. 4 is a schematic flowchart of another shooting processing method according to an embodiment of the present invention.
  • FIG. 5 is a schematic flowchart of another shooting processing method according to an embodiment of the present invention.
  • FIG. 6 is a schematic flowchart of another photographing processing method according to an embodiment of the present invention.
  • FIG. 7 is a schematic structural diagram of a photographing processing device according to an embodiment of the present invention.
  • the shooting processing method provided in the embodiment of the present invention may be performed by a shooting processing device, and the shooting processing device may be provided on a terminal device configured with a shooting device.
  • the shooting processing device may be set On a terminal device that establishes a communication connection with a photographing device, in some embodiments, the photographing processing device may be provided on a mobile robot configured with a photographing device. In other embodiments, the photographing processing device may be located in a space. It is independent of the mobile robot.
  • the shooting processing device may be a component of the mobile robot, that is, the mobile robot includes a shooting processing device, and the mobile robot may include: a drone, an unmanned vehicle, For a mobile robot such as a human ship, a two-way communication can be performed between the shooting processing device and the mobile robot.
  • the photographing processing device may receive a photographed image collected by the photographing device to capture a target object, and after acquiring the photographed image, acquire a key point of the photographed image, and determine the sharpness of the key point Whether the information satisfies the sharpness condition, and if the sharpness information of the key points does not satisfy the sharpness condition, the shooting parameters of the shooting device may be adjusted, and if the sharpness information of the key points of the captured image meets the If the condition is clear, the captured image is output.
  • the sharpness of the captured image can be adjusted in this way, thereby improving the sharpness of the captured image and the quality of the captured image.
  • a drone is used as a mobile robot for illustration.
  • FIG. 1 is a schematic structural diagram of a shooting processing system according to an embodiment of the present invention.
  • the shooting processing system includes a shooting processing device 11 and a drone 12.
  • a communication connection may be established between the drone 12 and the shooting processing device 11 through a wireless communication connection method.
  • a communication connection may also be established between the drone 12 and the shooting processing device 11 by using a wired communication connection.
  • the UAV 12 may be a rotor-type aircraft, for example, a quad-rotor, a six-rotor, an eight-rotor, or an aircraft such as a fixed-wing aircraft.
  • the drone 12 includes a power system 121, and the power system 121 is configured to provide power for the drone 12 to fly.
  • FIG. 2 is a schematic flowchart of a photographing processing method according to an embodiment of the present invention.
  • the method may be executed by a photographing processing device.
  • the specific explanation of the photographing processing device is as described above.
  • the method according to the embodiment of the present invention includes the following steps.
  • S201 Receive a captured image collected by a shooting device to capture a target object.
  • the photographing processing device may receive a photographed image collected by the photographing device to photograph a target object.
  • the target object may be a human, animal, plant, or the like.
  • the captured image obtained by the shooting processing device may be a human face image, or an animal face image or an image of another part, which is not specifically limited in this embodiment of the present invention.
  • the photographing processing device may acquire a key point of the photographed image according to a photographed image obtained by photographing the target object by the photographing device.
  • the key points of the captured image include one or more key points.
  • the key points of the captured image may include Key points for eyebrows, eyes, nose, mouth, etc.
  • FIG. 3a is taken as an example for illustration, and FIG. 3a is a schematic diagram of an interface of a key point of a captured image according to an embodiment of the present invention.
  • the captured image includes a face image 31, and the face image 31 includes a plurality of key points, such as key points 32.
  • the key points of the captured image may be calculated according to a preset algorithm, such as a deep learning algorithm, and the embodiment of the present invention does not specifically limit the manner of acquiring the key points.
  • the shooting processing device may determine position information of each key point relative to the captured image according to a preset algorithm, such as a deep learning algorithm, and obtain Number of all key points.
  • a preset algorithm such as a deep learning algorithm
  • position information of a key point relative to the captured image is coordinate information (u, v) And get the numbers of all key points.
  • S203 Determine whether the sharpness information of the key point satisfies a sharpness condition.
  • the photographing processing device may determine whether the sharpness information of the key point meets a sharpness condition.
  • the shooting processing device may determine a response value of the sharpness evaluation function of the key point, and detect whether the After the shooting parameters of the device are adjusted, whether the response value of the sharpness evaluation function changes to determine whether the sharpness information of the key point meets the sharpness condition.
  • the shooting processing device may adjust the shooting parameters of the shooting device.
  • the shooting processing device may detect whether the sharpness information of the key point meets a sharpness condition, and if it is detected that the sharpness information of the key point does not satisfy For sharpness conditions, the shooting parameters of the shooting device may be adjusted until the sharpness information of all key points in the captured image meets the sharpness conditions. If it is detected that the sharpness information of all key points of the captured image satisfies the cleaning condition, the shooting processing device may output the captured image.
  • the shooting parameters include any one or more of aperture, shutter, sensitivity, and the like.
  • the evaluation function includes a sharpness evaluation function and a brightness evaluation function. In other embodiments, the evaluation function may further include other types of evaluation functions, which are not specifically limited in this embodiment of the present invention.
  • the evaluation function includes a sharpness evaluation function
  • the sharpness information does not satisfy the sharpness condition may refer to the sharpness of one or more of the key points after adjusting the shooting parameters of the shooting device.
  • the response value of the degree evaluation function changes.
  • the shooting parameter is an aperture
  • the response value of the sharpness evaluation function of one or more key points is increased relative to the response value of the sharpness evaluation function before the aperture is adjusted. If it is large, it can be determined that the sharpness information of the key points of the captured image does not satisfy the sharpness condition.
  • the photographing processing device may receive a photographed image collected by a photographing device to capture a target object, acquire key points of the photographed image, and detect whether sharpness information of the key points of the photographed image meets a clear condition, If the sharpness information of the key points does not satisfy the sharpness condition, the shooting parameters of the shooting device may be adjusted. By adjusting the shooting parameters of the shooting device, the shooting device can capture images more effectively, and the quality of captured images is improved.
  • FIG. 4 is a schematic flowchart of another photographing processing method according to an embodiment of the present invention.
  • the method may be executed by a photographing processing device.
  • the specific explanation of the photographing processing device is as described above.
  • the difference between the embodiment of the present invention and the embodiment shown in FIG. 2 is that the embodiment of the present invention is a detailed description of the key points of acquiring a captured image.
  • the method according to the embodiment of the present invention includes the following steps.
  • S401 Receive a captured image captured by a shooting device to capture a target object.
  • the shooting processing device may receive a captured image collected by a shooting device to capture a target object.
  • the description of the specific embodiment is as described above, and is not repeated here.
  • S402 Determine a target image area in the captured image.
  • the shooting processing device may determine a target image area in the captured image.
  • the target image region may be a partial image region of the captured image, such as an image region of an eyebrow, an eye, a nose, a mouth, or the like.
  • FIG. 3b is a schematic diagram of an interface of a key point of a target image region according to an embodiment of the present invention.
  • the capture processing device may determine that a target image region of the captured image is a right-eye image region 311.
  • the shooting processing device may determine the target image region from the captured image according to an image region selection operation.
  • the image region selection operation may be an operation performed by a user on the photographing processing device, or may be an operation performed by a user on a photographing device.
  • the image area selection operation performed by the user on the photographing processing device may be any one or more operations such as a single-click operation, a double-click operation, a slide operation, and a frame selection operation.
  • the image area selection operation performed by the user on the photographing device may include any one or more operations such as a button click operation and a lens rotation operation.
  • FIG. 3c is a schematic diagram of an interface for determining a target image area according to an embodiment of the present invention.
  • the target image area 331 obtained by the frame selection operation 33 may be determined according to the frame selection operation 33.
  • the photographing processing device may acquire a key point of the target image region. Taking FIG. 3c as an example, after determining the target image area 331, the shooting processing device may determine one or more key points in the target image area 331.
  • the shooting processing device may determine whether the sharpness information of the key points meets the clearness condition.
  • the specific implementation process is as described above, and is not repeated here.
  • the shooting parameters of the shooting device may be adjusted.
  • the specific implementation process and examples are as described above. , Will not repeat them here.
  • the shooting processing device may receive a captured image collected by the shooting device to capture a target object, and determine a target image region in the captured image according to an image region selection operation, thereby obtaining a key point of the target image region, If the sharpness information of the key points of the target image area does not satisfy the sharpness condition, the shooting processing device may adjust shooting parameters of the shooting device. In this way, the sharpness of the key points of the target image area in the captured image is adjusted, and the efficiency of adjusting the sharpness of the key points is improved.
  • FIG. 5 is a schematic flowchart of still another photographing processing method according to an embodiment of the present invention.
  • the method may be executed by a photographing processing device.
  • the specific explanation of the photographing processing device is as described above.
  • the difference between the embodiment of the present invention and the embodiment described in FIG. 4 lies in that the embodiment of the present invention is a schematic description of adjusting the aperture of the photographing device according to a sharpness evaluation function.
  • the method according to the embodiment of the present invention includes the following steps.
  • S501 Receive a captured image captured by a shooting device to capture a target object.
  • the photographing processing device may receive a photographed image collected by the photographing device to photograph the target object.
  • the schematic description of the specific implementation process is as described above, and is not repeated here.
  • the shooting processing device may obtain the key points of the captured image.
  • the specific implementation process and the example description are as described above, and are not repeated here.
  • the photographing processing device may determine a response value of the sharpness evaluation function of the key point.
  • a shooting parameter of the shooting device may include an aperture.
  • a response value of a sharpness evaluation function of a key point of the captured image increases as the aperture decreases.
  • the shooting processing device may determine a position of the key point relative to the captured image, such as a coordinate (u, v) of the key point, and The position of the key point relative to the captured image determines a response value of the key sharpness evaluation function.
  • step S504 Detect whether the response value of the sharpness evaluation function changes after the aperture of the photographing device is adjusted. If the detection result is yes, step S505 is performed; if the detection result is no, step S507 is performed.
  • the photographing processing device may adjust the aperture of the photographing device, and detect whether the response value of the sharpness evaluation function changes after adjusting the aperture, and if the response value of the sharpness evaluation function occurs If it changes, step S505 may be performed.
  • the shooting processing device may determine that the sharpness information of the key point does not meet the sharpness condition, and execute steps S506.
  • S506 Determine a key point whose response value of the sharpness evaluation function changes is a key point to be adjusted.
  • the keypoints whose response value of the sharpness evaluation function changes may be determined as the keypoints to be adjusted.
  • the key point to be adjusted is a key point where a response value of a sharpness evaluation function changes among key points of the captured image.
  • the key point in the right-eye image area 311 may be determined as a key point to be adjusted.
  • S507 Adjust the aperture of the photographing device according to a response value of the sharpness evaluation function of the key point to be adjusted.
  • the photographing processing device may adjust the aperture of the photographing device according to a response value of the sharpness evaluation function of the key point to be adjusted.
  • the photographing processing device may reduce the size of the aperture of the photographing device according to the response value of the sharpness evaluation function of the key point to be adjusted. If it is detected that the size of the aperture of the photographing device is reduced, After that, if the response value of the sharpness evaluation function of the key point to be adjusted does not change, the adjustment of the aperture is stopped, and the aperture size before the aperture is reduced is determined as the optimal aperture size. In some embodiments, the response value of the sharpness evaluation function increases as the aperture size decreases.
  • the photographing processing device detects that the response value of the sharpness evaluation function of the key point to be adjusted increases, and then continues to reduce the aperture size of the photographing device. After detecting that the response value of the sharpness evaluation function of the key point to be adjusted does not change after the aperture is reduced, the adjustment of the aperture is stopped, and the aperture size before the aperture reduction is determined as the optimal aperture size.
  • the photographing processing device detects that a response value of a sharpness evaluation function of the key point to be adjusted changes, the key point to be adjusted may be determined The sharpness information does not satisfy the sharpness condition, so the aperture is continuously adjusted until the response value of the sharpness evaluation function of the key point to be adjusted no longer changes.
  • S508 Determine that the sharpness information of the key point meets a sharpness condition.
  • the shooting processing device may determine that the sharpness information of the key point satisfies the clearness condition, and adjust the aperture Take an image.
  • the shooting processing device may receive a captured image collected by the shooting device to capture a target object, acquire a key point of the captured image, and determine a response value of the sharpness evaluation function of the key point.
  • the response value of the sharpness evaluation function changes, it is determined that the sharpness information of the key points does not satisfy the sharpness condition, and the key to further changing the response value of the sharpness evaluation function is
  • the point is determined as a key point to be adjusted, and the aperture of the photographing device is adjusted according to a response value of a sharpness evaluation function of the key point to be adjusted.
  • FIG. 6 is a schematic flowchart of still another photographing processing method according to an embodiment of the present invention.
  • the method may be executed by a photographing processing device.
  • the specific explanation of the photographing processing device is as described above.
  • the difference between the embodiment of the present invention and the embodiment shown in FIG. 5 is that the embodiment of the present invention is a schematic description of adjusting the brightness of a captured image.
  • the method according to the embodiment of the present invention includes the following steps.
  • S601 Receive a captured image captured by a shooting device to capture a target object.
  • the photographing processing device may receive a photographed image collected by the photographing device to photograph the target object.
  • the schematic description of the specific implementation process is as described above, and is not repeated here.
  • S602 Acquire a key point of the captured image.
  • the shooting processing device may obtain the key points of the captured image.
  • the schematic description of the specific implementation process is as described above, and is not repeated here.
  • the photographing processing device may determine a response value of the sharpness evaluation function of the key point.
  • the schematic description of the specific implementation process is as described above, and is not repeated here.
  • the photographing processing device may obtain a photographing mode operation, and according to the key point The region of the captured image is divided into regions to obtain a plurality of different sub-image regions.
  • the shooting processing device may divide the face image according to the key points of the face image when the image area is divided according to the key points.
  • a plurality of different image regions such as a left face, a right face, a forehead, a chin, a left eye, a right eye, and a nose, are obtained.
  • the manner of dividing the region of the captured image according to a key point may be dividing according to a region division operation on the shooting processing device.
  • the The method of dividing the points into regions may be a preset division method, and the photographing processing device performs the division of the key points according to the preset division method.
  • the shooting processing device when the shooting processing device performs area division on the captured image area according to key points, the position processing information (u, v) of all key points and position information of all key points ( u, v) one-to-one corresponding key point numbers (such as key point 1), and the corresponding key point numbers are connected to form a plurality of closed graphics, that is, the sub-image area.
  • S605 Adjust the shutter and / or the sensitivity of the shooting device according to the shooting mode.
  • the shutter processing and / or sensitivity of the shooting device may be adjusted according to the shooting mode.
  • the shooting processing device may acquire pixels of each sub-image area, and determine a response value of a brightness evaluation function regarding each sub-image area as needed.
  • the photographing processing device may adjust the sensitivity and shutter time of key points of each sub-image area according to the response value of the brightness evaluation function.
  • the photographic processing device when the photographic processing device adjusts the sensitivity and shutter time of key points in each sub-image area, the photographic processing device may obtain aperture size information obtained after adjusting the aperture of the photographing device, and according to the aperture ’s The size information and the response value of the brightness evaluation function of the key points of each image region adjust the sensitivity and shutter time of the key points of each image region.
  • the shooting processing device may assign different weights to the divided sub-image areas, and the size of the weight determines the brightness or darkness of the corresponding sub-image area compared with the captured image.
  • the weight may be set by a user, or the photographing device may automatically select and set the weight according to a preset weight.
  • the photographing processing device may bring the aperture size obtained after adjusting the aperture into the brightness evaluation function, and the photographing device may automatically select a shutter time and sensitivity to adjust the brightness.
  • the shooting mode includes a custom mode, and when the shooting processing device adjusts the shutter and / or sensitivity of the shooting device according to the shooting mode, Mode to obtain a custom brightness operation of each sub-image area, to obtain the weight of each sub-image area in the brightness evaluation function and the response value of the brightness evaluation function, and according to the sub-image area in the brightness evaluation function
  • the occupied weight and the response value of the brightness evaluation function adjust the shutter and / or the sensitivity of the photographing device.
  • the weight occupied by each sub-image region in the brightness evaluation function may be set by a user, which is not specifically limited in this embodiment of the present invention.
  • the shooting mode includes a non-custom mode, and when the shooting processing device adjusts the shutter and / or sensitivity of the shooting device according to the shooting mode, In the mode, the weight occupied by each sub-image region in the brightness evaluation function and the response value of the brightness evaluation function are used to adjust the shutter and / or sensitivity of the photographing device.
  • the non-custom mode may be set with different weight values, such as “soft light”, “Japanese”, and “blues” in the camera. Different regions have different weights under the non-custom mode.
  • the non-custom mode may include multiple types, which are not specifically limited in the embodiment of the present invention.
  • the shooting processing device may obtain the key points of the captured image. If it is detected that the response value of the sharpness evaluation function of the key points does not change after the aperture of the shooting device is adjusted, The key points are divided into regions to obtain a plurality of different image regions, and a response value of a brightness evaluation function of the key points of each image region is determined, and the sensitivity of the key points of each image region is determined according to the response value of the brightness evaluation function. , And / or the shutter time, and output a captured image obtained by the shooting device shooting the target object after adjusting the sensitivity and the shutter time. By adjusting the brightness of key points after adjusting the aperture, the quality of captured images is further improved.
  • FIG. 7 is a schematic structural diagram of a photographing processing device according to an embodiment of the present invention.
  • the shooting processing device includes: a memory 701, a processor 702, and a data interface 703.
  • the memory 701 may include a volatile memory; the memory 701 may also include a non-volatile memory; the memory 701 may further include a combination of the foregoing types of memories.
  • the processor 702 may be a central processing unit (CPU).
  • the processor 702 may further include a hardware chip.
  • the hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. Specifically, it can be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), or any combination thereof.
  • ASIC application-specific integrated circuit
  • PLD programmable logic device
  • FPGA field-programmable gate array
  • the memory 701 is configured to store program instructions. When the program instructions are executed, the processor 702 may call the program instructions stored in the memory 701 to perform the following steps:
  • processor 702 calls a program instruction stored in the memory 701 for acquiring a key point of the captured image, the following steps are specifically performed:
  • a key point of the target image area is acquired.
  • processor 702 invokes program instructions stored in the memory 701 to determine a target image region in the captured image, it is specifically configured to perform the following steps:
  • the target image region is determined from the captured image according to an image region selection operation.
  • the shooting parameters include any one or more of an aperture, a shutter, and a sensitivity.
  • the processor 702 calls a program instruction stored in the memory 701 to determine whether the sharpness information of the key point meets a sharpness condition, it is specifically used to perform the following steps:
  • processor 702 invokes program instructions stored in the memory 701 to adjust shooting parameters of the shooting device, it is specifically used to perform the following steps:
  • processor 702 invokes program instructions stored in the memory 701 to adjust shooting parameters of the shooting device, it is specifically used to perform the following steps:
  • processor 702 invokes program instructions stored in the memory 701 to determine that the sharpness information of the key point meets the sharpness condition, it is further configured to perform the following steps:
  • An image is captured with the shooting parameters.
  • the shooting parameters include an aperture
  • the processor 702 calls a program instruction stored in the memory 701 to adjust the shooting parameters of the shooting device, it is specifically configured to:
  • the shooting parameter further includes a shutter time, and / or a sensitivity, and before the processor 702 calls a program instruction stored in the memory 701 to take an image with the shooting parameter, it is further configured to perform the following steps:
  • the processor 702 calls a program instruction stored in the memory 701 to adjust the shutter and / or the sensitivity of the shooting device according to the shooting mode, it is further configured to perform the following steps:
  • the shooting mode includes a custom mode
  • the processor 702 calls a program instruction stored in the memory 701 to adjust the shutter and / or sensitivity of the shooting device according to the shooting mode. To perform the following steps:
  • the shooting mode includes a non-custom mode
  • the processor 702 calls a program instruction stored in the memory 701 to adjust the shutter and / or the sensitivity of the shooting device according to the shooting mode, specifically, Used to perform the following steps:
  • the captured image includes a face image.
  • the photographing processing device may receive a photographed image collected by a photographing device to capture a target object, acquire a key point of the photographed image, determine whether the sharpness information of the key point meets a clear condition, and detect the photograph Whether the sharpness information of the key points of the image meets the sharpness condition, and if the sharpness information of the key points does not satisfy the sharpness condition, the shooting parameters of the shooting device may be adjusted.
  • the shooting parameters of the shooting device may be adjusted.
  • a computer-readable storage medium is also provided in the embodiment of the present invention.
  • the computer-readable storage medium stores a computer program, and the computer program implements the present invention when executed by a processor.
  • the shooting processing method described in the corresponding embodiment can also implement the shooting processing device of the corresponding embodiment of the present invention described in FIG. 7, and details are not described herein again.
  • the computer-readable storage medium may be an internal storage unit of the device according to any one of the foregoing embodiments, such as a hard disk or a memory of the device.
  • the computer-readable storage medium may also be an external storage device of the device, such as a plug-in hard disk, a Smart Media Card (SMC), and a Secure Digital (SD) card provided on the device. , Flash card (Flash card) and so on.
  • the computer-readable storage medium may also include both an internal storage unit of the device and an external storage device.
  • the computer-readable storage medium is used to store the computer program and other programs and data required by the device.
  • the computer-readable storage medium may also be used to temporarily store data that has been or will be output.
  • the program can be stored in a computer-readable storage medium.
  • the program When executed, the processes of the embodiments of the methods described above may be included.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random, Access Memory, RAM).

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Abstract

本发明实施例提供了一种拍摄处理方法、设备及存储介质，其中，方法包括：接收拍摄装置拍摄目标对象采集到的拍摄图像；获取所述拍摄图像的关键点；判断所述关键点的清晰度信息是否满足清晰条件；如果所述关键点的清晰度信息不满足所述清晰条件，则对所述拍摄装置的拍摄参数进行调整。通过这种方式，提高了拍摄图像的质量。

Description

一种拍摄处理方法、设备及存储介质 技术领域
本发明涉及控制技术领域，尤其涉及一种拍摄处理方法、设备及存储介质。
背景技术
目前在拍摄目标对象如人像或者动物(猫，狗等)的图像的时候，对拍摄图像质量的控制主要依靠摄影师对拍摄装置进行手动调整。但是依靠摄影师的手动调整经常会出现景深太浅，造成图像不清晰的问题。
因此如何更有效地进行拍摄处理，以提高拍摄图像的质量成为研究的重点。
发明内容
本发明实施例提供了一种拍摄处理方法、设备及存储介质，可提高拍摄图像的质量。
第一方面，本发明实施例提供了一种拍摄处理方法，包括：
接收拍摄装置拍摄目标对象采集到的拍摄图像；
获取所述拍摄图像的关键点；
判断所述关键点的清晰度信息是否满足清晰条件；
如果所述关键点的清晰度信息不满足所述清晰条件，则对所述拍摄装置的拍摄参数进行调整。通过调整拍摄装置的拍摄参数，提高了拍摄装置拍摄图像的质量。
第二方面，本发明实施例提供了一种拍摄处理设备，包括存储器和处理器；
所述存储器，用于存储程序指令；
所述处理器，执行所述存储器存储的程序指令，当程序指令被执行时，所述处理器用于执行如下步骤：
接收拍摄装置拍摄目标对象采集到的拍摄图像；
获取所述拍摄图像的关键点；
判断所述关键点的清晰度信息是否满足清晰条件；
如果所述关键点的清晰度信息不满足所述清晰条件，则对所述拍摄装置的 拍摄参数进行调整。通过调整拍摄装置的拍摄参数，提高了拍摄装置拍摄图像的质量。
第三方面，本发明实施例提供了一种计算机可读存储介质，该计算机可读存储介质存储有计算机程序，该计算机程序被处理器执行时实现如上述第一方面所述的拍摄处理方法。通过调整拍摄装置的拍摄参数，提高了拍摄装置拍摄图像的质量。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像，并获取所述拍摄图像的关键点，以及判断所述关键点的清晰度信息是否满足清晰条件，如果所述关键点的清晰度信息不满足所述清晰条件，则可以对所述拍摄装置的拍摄参数进行调整。通过调整拍摄装置的拍摄参数，提高了拍摄装置拍摄图像的质量。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例提供的一种拍摄处理系统的结构示意图；
图2是本发明实施例提供的一种拍摄处理方法的流程示意图；
图3a是本发明实施例提供的一种拍摄图像的关键点的界面示意图；
图3b是本发明实施例提供的一种目标图像区域的关键点的界面示意图；
图3c是本发明实施例提供的一种确定目标图像区域的界面示意图；
图4是本发明实施例提供的另一种拍摄处理方法的流程示意图；
图5是本发明实施例提供的又一种拍摄处理方法的流程示意图；
图6是本发明实施例提供的又一种拍摄处理方法的流程示意图；
图7是本发明实施例提供的一种拍摄处理设备的结构示意图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是 全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
下面结合附图，对本发明的一些实施方式作详细说明。在不冲突的情况下，下述的实施例及实施例中的特征可以相互组合。
本发明实施例中提供的拍摄处理方法可以由一种拍摄处理设备执行，所述拍摄处理设备可以设置在配置有拍摄装置的终端设备上，在某些实施例中，所述拍摄处理设备可以设置在与拍摄装置建立通信连接的终端设备上，在某些实施例中，所述拍摄处理设备可以设置在配置有拍摄装置的移动机器人上，在其他实施例中，所述拍摄处理设备可以在空间上独立于移动机器人，在某些实施例中，所述拍摄处理设备可以是移动机器人的部件，即所述移动机器人包括拍摄处理设备，该移动机器人可以包括：无人机、无人车、无人船等可移动的机器人，所述拍摄处理设备和移动机器人之间可以进行双向通信。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像，并在获取到所述拍摄图像之后，获取所述拍摄图像的关键点，以及判断所述关键点的清晰度信息是否满足清晰条件，如果所述关键点的清晰度信息不满足所述清晰条件，则可以对所述拍摄装置的拍摄参数进行调整，如果所述拍摄图像的关键点的清晰度信息满足所述清晰条件，则输出所述拍摄图像。本发明实施例，通过这种方式可以实现对拍摄图像的清晰度进行调整，从而提高了拍摄图像的清晰度以及拍摄图像的质量。为了说明方便，下面以无人机为移动机器人进行示意性说明。
具体请参见图1，图1是本发明实施例提供的一种拍摄处理系统的结构示意图。所述拍摄处理系统包括：拍摄处理设备11、无人机12。其中，无人机12和拍摄处理设备11之间可以通过无线通信连接方式建立通信连接。其中，在某些特定的场景下，所述无人机12和拍摄处理设备11之间也可以通过有线通信连接方式建立通信连接。所述无人机12可以为旋翼型飞行器，例如，四旋翼飞行器、六旋翼飞行器、八旋翼飞行器，也可以是固定翼飞行器等飞行器。所述无人机12包括动力系统121，所述动力系统121用于为无人机12提供飞行的动力。
下面结合附图对本发明实施例提供的拍摄处理方法进行示意性说明。
请参见图2，图2是本发明实施例提供的一种拍摄处理方法的流程示意图， 所述方法可以由拍摄处理设备执行，其中，所述拍摄处理设备的具体解释如前所述。具体地，本发明实施例的所述方法包括如下步骤。
S201：接收拍摄装置拍摄目标对象采集到的拍摄图像。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像。在某些实施例中，所述目标对象可以是人、动物、植物等对象。在某些实施例中，所述拍摄处理设备获取到的拍摄图像可以是人脸图像，也可以是动物脸部的图像或其他部位的图像，本发明实施例不做具体限定。
S202：获取所述拍摄图像的关键点。
本发明实施例中，拍摄处理设备可以根据所述拍摄装置拍摄目标对象得到的拍摄图像，获取所述拍摄图像的关键点。在某些实施例中，所述拍摄图像的关键点包括一个或多个关键点，例如，假设所述拍摄图像为人脸图像，则所述拍摄图像的关键点可以包括所述人脸图像上的眉毛、眼睛、鼻子、嘴巴等部位的关键点。
以图3a为例进行说明，图3a是本发明实施例提供的一种拍摄图像的关键点的界面示意图。如图3a所示，所述拍摄图像包括人脸图像31，所述人脸图像31包括多个关键点如关键点32。在某些实施例中，所述拍摄图像的关键点可以根据预设的算法如深度学习算法计算得到，本发明实施例对所述关键点的获取方式不做具体限定。
在一个实施例中，所述拍摄处理设备在确定所述拍摄图像的关键点时，可以根据预设的算法如深度学习算法，确定出每一个关键点相对于所述拍摄图像的位置信息并获得所有关键点的编号。
例如，如果所述拍摄处理设备在确定所述拍摄图像的关键点时，根据预设的算法如深度学习算法回归出一个关键点相对于所述拍摄图像的位置信息为坐标信息(u，v)并获得所有关键点的编号。
S203：判断所述关键点的清晰度信息是否满足清晰条件。
本发明实施例中，拍摄处理设备可以判断所述关键点的清晰度信息是否满足清晰条件。
在一个实施例中，所述拍摄处理设备在判断所述关键点的清晰度信息是否满足清晰条件时，可以通过确定所述关键点的清晰度评价函数的响应值，并检测在对所述拍摄装置的拍摄参数进行调整之后，所述清晰度评价函数的响应值 是否发生变化来判断所述关键点的清晰度信息是否满足清晰条件。
S204：如果所述关键点的清晰度信息不满足所述清晰条件，则对所述拍摄装置的拍摄参数进行调整。
本发明实施例中，拍摄处理设备如果检测到所述关键点的清晰度信息不满足清晰条件，则可以对所述拍摄装置的拍摄参数进行调整。
具体实施过程中，所述拍摄处理设备在获取到所述拍摄图像的关键点之后，可以检测所述关键点的清晰度信息是否满足清晰条件，如果检测到所述关键点的清晰度信息不满足清晰条件，则可以对所述拍摄装置的拍摄参数进行调整，直至所述拍摄图像中所有的关键点的清晰度信息满足所述清晰条件。如果检测到所述拍摄图像的所有关键点的清晰度信息均满足所述清洗条件，则所述拍摄处理设备可以输出所述拍摄图像。
在一个实施例中，所述拍摄参数包括光圈、快门、感光度等中的任意一种或多种，在某些实施例中，所述评价函数包括清晰度评价函数和亮度评价函数。在其他实施例中，所述评价函数还可以包括其他类型的评价函数，本发明实施例不做具体限定。
在一个实施例中，所述评价函数包括清晰度评价函数，所述清晰度信息不满足清晰条件可以指在对所述拍摄装置的拍摄参数进行调整之后，一个或多个所述关键点的清晰度评价函数的响应值发生变化。
例如，假设所述拍摄参数为光圈，如果对所述拍摄装置的光圈进行调整之后，一个或多个关键点的清晰度评价函数的响应值相对于调整光圈之前的清晰度评价函数的响应值增大，则可以确定所述拍摄图像的关键点的清晰度信息不满足清晰条件。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像，并获取所述拍摄图像的关键点，以及检测所述拍摄图像的关键点的清晰度信息是否满足清晰条件，如果所述关键点的清晰度信息不满足所述清晰条件，则可以对所述拍摄装置的拍摄参数进行调整。通过调整拍摄装置的拍摄参数，以使拍摄装置更有效地拍摄图像，提高了拍摄图像的质量。
请参见图4，图4是本发明实施例提供的另一种拍摄处理方法的流程示意图，所述方法可以由拍摄处理设备执行，其中，拍摄处理设备的具体解释如前 所述。本发明实施例与上述图2所述实施例的区别在于，本发明实施例是对获取拍摄图像的关键点的进行详细的说明。具体地，本发明实施例的所述方法包括如下步骤。
S401：接收拍摄装置拍摄目标对象采集到的拍摄图像。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像，具体实施例说明如前所述，此处不再赘述。
S402：确定所述拍摄图像中的目标图像区域。
本发明实施例中，拍摄处理设备可以确定所述拍摄图像中的目标图像区域。在某些实施例中，所述目标图像区域可以是所述拍摄图像的局部图像区域，如眉毛、眼睛、鼻子、嘴巴等部位的图像区域。
以图3b为例，图3b是本发明实施例提供的一种目标图像区域的关键点的界面示意图。如图3b所示，所述拍摄图像为人脸图像31，则所述拍摄处理设备可以确定所述拍摄图像的目标图像区域为右眼图像区域311。
在一个实施例中，拍摄处理设备可以根据图像区域选取操作从所述拍摄图像中确定所述目标图像区域。在某些实施例中，所述图像区域选取操作可以是用户在所述拍摄处理设备上执行的操作，也可以是用户在拍摄装置上执行的操作。在某些实施例中，所述用户在所述拍摄处理设备上执行的图像区域选取操作可以是单击操作、双击操作、滑动操作、框选操作等任意一种或多种操作。在某些实施例中，所述用户在所述拍摄装置上执行的图像区域选取操作可以包括按钮点击操作、镜头旋转操作等任意一种或多种操作。
以图3c为例，图3c是本发明实施例提供的一种确定目标图像区域的界面示意图，如图3c所示，假设所述图像区域选取操作为框选操作33，则所述拍摄处理设备可以根据框选操作33，确定所述框选操作33框选得到的目标图像区域331。
S403：获取所述目标图像区域的关键点。
本发明实施例中，拍摄处理设备可以获取所述目标图像区域的关键点。以图3c为例，所述拍摄处理设备在确定出所述目标图像区域331之后，可以确定所述目标图像区域331中的一个或多个关键点。
S404：判断所述关键点的清晰度信息是否满足清晰条件。
本发明实施例中，拍摄处理设备可以判断所述关键点的清晰度信息是否满 足清晰条件，具体实施过程如上所述，此处不再赘述。
S405：如果所述目标图像区域的关键点的清晰度信息不满足所述清晰条件，则对所述拍摄装置的拍摄参数进行调整。
本发明实施例中，拍摄处理设备如果所述目标图像区域的关键点的清晰度信息不满足清晰条件，则可以对所述拍摄装置的拍摄参数进行调整，具体实施过程及举例说明如前所述，此处不再赘述。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像，并根据图像区域选取操作确定所述拍摄图像中的目标图像区域，从而获取所述目标图像区域的关键点，如果所述目标图像区域的关键点的清晰度信息不满足清晰条件，则所述拍摄处理设备可以对所述拍摄装置的拍摄参数进行调整。通过这种方式，实现了对拍摄图像中目标图像区域的关键点的清晰度进行调整，提高了调整关键点的清晰度的效率。
请参见图5，图5是本发明实施例提供的又一种拍摄处理方法的流程示意图，所述方法可以由拍摄处理设备执行，其中，拍摄处理设备的具体解释如前所述。本发明实施例与上述图4所述实施例的区别在于，本发明实施例是对根据清晰度评价函数调整拍摄装置的光圈的示意性说明。具体地，本发明实施例的所述方法包括如下步骤。
S501：接收拍摄装置拍摄目标对象采集到的拍摄图像。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像，具体实施过程的示意性说明如前所述，此处不再赘述。
S502：获取所述拍摄图像的关键点。
本发明实施例中，拍摄处理设备可以获取所述拍摄图像的关键点，具体实施过程及举例说明如前所述，此处不再赘述。
S503：确定所述关键点的清晰度评价函数的响应值。
本发明实施例中，拍摄处理设备可以确定所述关键点的清晰度评价函数的响应值。在一个实施例中，所述拍摄装置的拍摄参数可以包括光圈，在某些实施例中，所述拍摄图像的关键点的清晰度评价函数的响应值随着所述光圈的缩小而增大。
具体实施过程中，所述拍摄处理设备可以在获取到所述拍摄图像的关键点 之后，确定所述关键点相对于所述拍摄图像的位置如关键点的坐标(u，v)，并根据所述关键点相对于所述拍摄图像的位置，确定所述关键的清晰度评价函数的响应值。
S504：检测在对拍摄装置的光圈进行调整之后，所述清晰度评价函数的响应值是否发生变化，如果检测结果为是，则执行步骤S505，如果检测结果为否，则执行步骤S507。
本发明实施例中，拍摄处理设备可以通过对所述拍摄装置的光圈进行调整，并检测调整光圈之后所述清晰度评价函数的响应值是否发生变化，如果所述清晰度评价函数的响应值发生变化，则可以执行步骤S505。
S505：确定所述关键点的清晰度信息不满足清晰条件，并执行步骤S506。
本发明实施例中，拍摄处理设备如果检测到调整所述拍摄光圈之后，所述清晰度评价函数的响应值发生变化，则可以确定所述关键点的清晰度信息不满足清晰条件，并执行步骤S506。
S506：将所述清晰度评价函数的响应值发生变化的关键点确定为待调整关键点。
本发明实施例中，拍摄处理设备在确定出所述关键点的清晰度信息不满足清晰条件时，可以将所述清晰度评价函数的响应值发生变化的关键点确定为待调整关键点。在某些实施例中，所述待调整的关键点是所述拍摄图像的各关键点中清晰度评价函数的响应值发生变化的关键点。
以图3b为例进行说明，拍摄处理设备在确定出所述关键点的清晰度信息不满足清晰条件时，如果检测到人脸图像区域31中的右眼图像区域311中的关键点的清晰度评价函数的响应值发生变化，则可以确定所述右眼图像区域311中的关键点为待调整关键点。
S507：根据所述待调整关键点的清晰度评价函数的响应值，对所述拍摄装置的光圈进行调整。
本发明实施例中，拍摄处理设备可以根据所述待调整关键点的清晰度评价函数的响应值，对所述拍摄装置的光圈进行调整。
在一个实施例中，所述拍摄处理设备可以根据所述待调整关键点的清晰度评价函数的响应值，缩小所述拍摄装置的光圈的尺寸，如果检测到缩小所述拍摄装置的光圈的尺寸之后，所述待调整关键点的清晰度评价函数的响应值没有 发生变化，则停止对所述光圈的调整，并将缩小光圈之前的光圈尺寸确定为最佳光圈尺寸。在某些实施例中，所述清晰度评价函数的响应值随所述光圈尺寸的缩小而增大。
例如，如果缩小所述拍摄装置的光圈的尺寸，所述拍摄处理设备检测到所述待调整关键点的清晰度评价函数的响应值增大，则继续缩小所述拍摄装置的光圈的尺寸，如果检测到缩小光圈之后所述待调整关键点的清晰度评价函数的响应值没有发生变化，则停止对所述光圈的调整，并将缩小光圈之前的光圈尺寸确定为最佳光圈尺寸。
在一个实施例中，如果在调整所述拍摄装置的光圈之后，所述拍摄处理设备检测到所述待调整关键点的清晰度评价函数的响应值发生变化，则可以确定所述待调整关键点的清晰度信息不满足清晰条件，因此继续调整光圈，直至所述待调整关键点的清晰度评价函数的响应值不再发生变化。
S508：确定所述关键点的清晰度信息满足清晰条件。
本发明实施例中，所述拍摄处理设备如果检测到所述清晰度评价函数的响应值没有发生变化，则可以确定所述关键点的清晰度信息满足所述清晰条件，并以调整后的光圈拍摄图像。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像，获取所述拍摄图像的关键点，并确定所述关键点的清晰度评价函数的响应值，如果检测到在对拍摄装置的拍摄参数进行调整之后所述清晰度评价函数的响应值发生变化，确定所述关键点的清晰度信息不满足清晰条件，进一步将所述清晰度评价函数的响应值发生变化的关键点确定为待调整关键点，并根据所述待调整关键点的清晰度评价函数的响应值，对所述拍摄装置的光圈进行调整。通过调整拍摄装置的光圈，实现了对拍摄图像清晰度的调整，提高了拍摄图像的清晰度。
请参见图6，图6是本发明实施例提供的又一种拍摄处理方法的流程示意图，所述方法可以由拍摄处理设备执行，其中，拍摄处理设备的具体解释如前所述。本发明实施例与上述图5所述实施例的区别在于，本发明实施例是对拍摄图像的亮度进行调整的示意性说明。具体地，本发明实施例的所述方法包括如下步骤。
S601：接收拍摄装置拍摄目标对象采集到的拍摄图像。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像，具体实施过程的示意性说明如前所述，此处不再赘述。
S602：获取所述拍摄图像的关键点。
本发明实施例中，拍摄处理设备可以获取所述拍摄图像的关键点，具体实施过程的示意性说明如前所述，此处不再赘述。
S603：确定所述关键点的清晰度评价函数的响应值。
本发明实施例中，拍摄处理设备可以确定所述关键点的清晰度评价函数的响应值，具体实施过程的示意性说明如前所述，此处不再赘述。
S604：如果检测到在对所述拍摄装置的光圈进行调整之后，所述清晰度评价函数的响应值没有发生变化，则获取拍摄模式操作，并根据所述关键点对所述拍摄图像的区域进行划分，得到多个子图像区域。
本发明实施例中，如果检测到在对所述拍摄装置的光圈进行调整之后，所述清晰度评价函数的响应值没有发生变化，则拍摄处理设备可以获取拍摄模式操作，并根据所述关键点对所述拍摄图像的区域进行区域划分，得到多个不同的子图像区域。
例如，假设所述拍摄图像是人脸图像，则所述拍摄处理设备在根据所述关键点对图像区域进行区域划分时，可以根据所述人脸图像的关键点对该人脸图像进行划分，得到多个不同的图像区域，如左脸、右脸、额头、下巴、左眼、右眼、鼻子等任意多个不同的图像区域。
在一个实施例中，所述根据关键点对所述拍摄图像的区域进行区域划分的方式可以是根据所述拍摄处理设备上的区域划分操作进行划分，在某些实施例中，所述对关键点进行区域划分的方式可以是预先设置的划分方式，所述拍摄处理设备根据所述预先设置的划分方式对所述关键点进行区域划分。
在一个实施例中，所述拍摄处理设备根据关键点对所述拍摄图像的区域进行区域划分时，可以根据确定出所有关键点的位置信息(u，v)以及与所有关键点的位置信息(u，v)一一对应的关键点号(如1号关键点)，并把对应的关键点号相连接形成多个封闭的图形即该子图像区域。
S605：根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整。
本发明实施例中，拍摄处理设备在对拍摄图像进行划分得到多个子图像区 域之后，可以根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整。
在一个实施例中，拍摄处理设备可以获取各子图像区域的像素，根据需要确定关于各子图像区域的亮度评价函数的响应值。
在一个实施例中，拍摄处理设备可以根据所述亮度评价函数的响应值，对各子图像区域关键点的感光度和快门时间进行调整。
在一个实施例中，所述拍摄处理设备在对各子图像区域关键点的感光度和快门时间进行调整时，可以获取调整拍摄装置的光圈后得到的光圈的尺寸信息，并根据所述光圈的尺寸信息以及所述各图像区域关键点的亮度评价函数的响应值，对所述各图像区域的关键点的感光度和快门时间进行调整。
在一个实施例中，所述拍摄处理设备可以对划分得到的各子图像区域赋予不同的权重，权重的大小决定了对应子图像区域与拍摄图像相比的亮暗程度。在某些实施例中，该权重可以是用户设定的，也可以拍摄装置根据预设权重自动选择设定的。
在一个实施例中，所述拍摄处理设备可以将上述调整光圈之后获取到的光圈尺寸带入亮度评价函数，拍摄装置可以自动选择快门时间和感光度来对亮度进行调整。
在一个实施例中，所述拍摄模式包括自定义模式，所述拍摄处理设备在根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整时，可以根据所述自定义模式，获取各子图像区域自定义亮度操作，得到所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值，并根据所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值，对所述拍摄装置的快门，和/或感光度进行调整。在某些实施例中，所述各子图像区域在亮度评价函数中所占权重可以是用户设置的，本发明实施例不做具体限定。
在一个实施例中，所述拍摄模式包括非自定义模式，所述拍摄处理设备在根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整时，可以根据非自定义模式下所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值，对所述拍摄装置的快门，和/或感光度进行调整。在某些实施例中，所述非自定义模式可以是以不同的权重值来设置的，如相机里的“柔光”“日系”“蓝调”等非自定义模式下不同区域权重不同。在某些实施例中， 所述非自定义模式可以包括多种，本发明实施例不做具体限定。
本发明实施例中，拍摄处理设备可以获取拍摄图像的关键点，如果检测到在对所述拍摄装置的光圈进行调整之后，所述关键点的清晰度评价函数的响应值没有发生变化，则对所述关键点进行区域划分得到多个不同的图像区域，并确定各图像区域关键点的亮度评价函数的响应值，以及根据所述亮度评价函数的响应值，对各图像区域关键点的感光度，和/或快门时间进行调整，并输出调整所述感光度和快门时间后所述拍摄装置拍摄所述目标对象得到的拍摄图像。通过调整光圈之后对关键点的亮度进行调整，进一步提高了拍摄图像的质量。
请参见图7，图7是本发明实施例提供的一种拍摄处理设备的结构示意图。具体的，所述拍摄处理设备包括：存储器701、处理器702以及数据接口703。
所述存储器701可以包括易失性存储器(volatile memory)；存储器701也可以包括非易失性存储器(non-volatile memory)；存储器701还可以包括上述种类的存储器的组合。所述处理器702可以是中央处理器(central processing unit，CPU)。所述处理器702还可以进一步包括硬件芯片。上述硬件芯片可以是专用集成电路(application-specific integrated circuit，ASIC)，可编程逻辑器件(programmable logic device，PLD)或其组合。具体例如可以是复杂可编程逻辑器件(complex programmable logic device，CPLD)，现场可编程逻辑门阵列(field-programmable gate array，FPGA)或其任意组合。
进一步地，所述存储器701用于存储程序指令，当程序指令被执行时所述处理器702可以调用存储器701中存储的程序指令，用于执行如下步骤：
接收拍摄装置拍摄目标对象采集到的拍摄图像；
获取所述拍摄图像的关键点；
判断所述关键点的清晰度信息是否满足清晰条件；
如果所述关键点的清晰度信息不满足所述清晰条件，则对所述拍摄装置的拍摄参数进行调整。
进一步地，所述处理器702调用存储器701中存储的程序指令用于获取所述拍摄图像的关键点时，具体执行如下步骤：
确定所述拍摄图像中的目标图像区域；
获取所述目标图像区域的关键点。
进一步地，所述处理器702调用存储器701中存储的程序指令确定所述拍摄图像中的目标图像区域时，具体用于执行如下步骤：
根据图像区域选取操作从所述拍摄图像中确定所述目标图像区域。
进一步地，所述拍摄参数包括光圈、快门、感光度中的任意一种或多种。
进一步地，所述处理器702调用存储器701中存储的程序指令判断所述关键点的清晰度信息是否满足清晰条件时，具体用于执行如下步骤：
确定所述关键点的清晰度评价函数的响应值；
检测在对所述拍摄装置的拍摄参数进行调整之后，所述清晰度评价函数的响应值是否发生变化；
如果检测结果为否，则确定所述关键点的清晰度信息满足所述清晰条件；
如果检测结果为是，则确定所述清晰度信息不满足所述清晰条件。
进一步地，所述处理器702调用存储器701中存储的程序指令对所述拍摄装置的拍摄参数进行调整时，具体用于执行如下步骤：
如果所述关键点的清晰度信息不满足所述清晰条件，则执行所述对所述拍摄装置的拍摄参数进行调整的操作。
进一步地，所述处理器702调用存储器701中存储的程序指令对所述拍摄装置的拍摄参数进行调整时，具体用于执行如下步骤：
将所述清晰度评价函数的响应值发生变化的关键点确定为待调整关键点；
根据所述待调整关键点的清晰度评价函数的响应值，对所述拍摄装置的拍摄参数进行调整。
进一步地，所述处理器702调用存储器701中存储的程序指令确定所述关键点的清晰度信息满足所述清晰条件之后，还用于执行如下步骤：
以所述拍摄参数拍摄图像。
进一步地，所述拍摄参数包括光圈，所述处理器702调用存储器701中存储的程序指令对所述拍摄装置的拍摄参数进行调整时，具体用于：
缩小所述光圈的尺寸。
进一步地，所述拍摄参数还包括快门时间，和/或感光度，所述处理器702调用存储器701中存储的程序指令以所述拍摄参数拍摄图像之前，还用于执行如下步骤：
获取拍摄模式操作；
根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整。
进一步地，所述处理器702调用存储器701中存储的程序指令根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整之前，还用于执行如下步骤：
根据所述关键点对所述拍摄图像的区域进行划分，得到多个子图像区域。
进一步地，所述拍摄模式包括自定义模式，所述处理器702调用存储器701中存储的程序指令根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整时，具体用于执行如下步骤：
根据所述自定义模式，获取各子图像区域自定义亮度操作，得到所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值；
根据所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值，对所述拍摄装置的快门，和/或感光度进行调整。
进一步地，所述拍摄模式包括非自定义模式，所述处理器702调用存储器701中存储的程序指令根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整时，具体用于执行如下步骤：
根据非自定义模式下所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值，对所述拍摄装置的快门，和/或感光度进行调整。
进一步地，所述拍摄图像包括人脸图像。
本发明实施例中，拍摄处理设备可以接收拍摄装置拍摄目标对象采集到的拍摄图像，获取所述拍摄图像的关键点，判断所述关键点的清晰度信息是否满足清晰条件，以及检测所述拍摄图像的关键点的清晰度信息是否满足清晰条件，如果所述关键点的清晰度信息不满足所述清晰条件，则可以对所述拍摄装置的拍摄参数进行调整。通过调整拍摄装置的拍摄参数，提高了拍摄装置拍摄图像的成功率以及提高了拍摄图像的质量和清晰度。
在本发明的实施例中还提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现本发明图2、图4或图6所对应实施例中描述的拍摄处理方法方式，也可实现图7所述本发明所对应实施例的拍摄处理设备，在此不再赘述。
所述计算机可读存储介质可以是前述任一项实施例所述的设备的内部存 储单元，例如设备的硬盘或内存。所述计算机可读存储介质也可以是所述设备的外部存储设备，例如所述设备上配备的插接式硬盘，智能存储卡(Smart Media Card,SMC)，安全数字(Secure Digital,SD)卡，闪存卡(Flash Card)等。进一步地，所述计算机可读存储介质还可以既包括所述设备的内部存储单元也包括外部存储设备。所述计算机可读存储介质用于存储所述计算机程序以及所述设备所需的其他程序和数据。所述计算机可读存储介质还可以用于暂时地存储已经输出或者将要输出的数据。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的程序可存储于一计算机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，所述的存储介质可为磁碟、光盘、只读存储记忆体(Read-Only Memory，ROM)或随机存储记忆体(Random Access Memory，RAM)等。
以上所揭露的仅为本发明部分实施例而已，当然不能以此来限定本发明之权利范围，因此依本发明权利要求所作的等同变化，仍属本发明所涵盖的范围。

Claims (29)

  1. 一种拍摄处理方法，其特征在于，包括：
    接收拍摄装置拍摄目标对象采集到的拍摄图像；
    获取所述拍摄图像的关键点；
    判断所述关键点的清晰度信息是否满足清晰条件；
    如果所述关键点的清晰度信息不满足所述清晰条件，则对所述拍摄装置的拍摄参数进行调整。
  2. 根据权利要求1所述的方法，其特征在于，所述获取所述拍摄图像的关键点，包括：
    确定所述拍摄图像中的目标图像区域；
    获取所述目标图像区域的关键点。
  3. 根据权利要求2所述的方法，其特征在于，所述确定所述拍摄图像中的目标图像区域，包括：
    根据图像区域选取操作从所述拍摄图像中确定所述目标图像区域。
  4. 根据权利要求1所述的方法，其特征在于，
    所述拍摄参数包括光圈、快门、感光度中的任意一种或多种。
  5. 根据权利要求1所述的方法，其特征在于，所述判断所述关键点的清晰度信息是否满足清晰条件，包括：
    确定所述关键点的清晰度评价函数的响应值；
    检测在对所述拍摄装置的拍摄参数进行调整之后，所述清晰度评价函数的响应值是否发生变化；
    如果检测结果为否，则确定所述关键点的清晰度信息满足所述清晰条件；
    如果检测结果为是，则确定所述清晰度信息不满足所述清晰条件。
  6. 根据权利要求5所述的方法，其特征在于，所述如果所述关键点的清 晰度信息不满足所述清晰条件，则对所述拍摄装置的拍摄参数进行调整，包括：
    如果所述关键点的清晰度信息不满足所述清晰条件，则执行所述对所述拍摄装置的拍摄参数进行调整的操作。
  7. 根据权利要求6所述的方法，其特征在于，所述对所述拍摄装置的拍摄参数进行调整，包括：
    将所述清晰度评价函数的响应值发生变化的关键点确定为待调整关键点；
    根据所述待调整关键点的清晰度评价函数的响应值，对所述拍摄装置的拍摄参数进行调整。
  8. 根据权利要求7所述的方法，其特征在于，所述如果检测结果为否，则确定所述关键点的清晰度信息满足所述清晰条件之后，还包括：
    以所述拍摄参数拍摄图像。
  9. 根据权利要求8所述的方法，其特征在于，所述拍摄参数包括光圈，所述对所述拍摄装置的拍摄参数进行调整，包括：
    缩小所述光圈的尺寸。
  10. 根据权利要求8所述的方法，其特征在于，所述拍摄参数还包括快门时间，和/或感光度，所述以所述拍摄参数拍摄图像之前，还包括：
    获取拍摄模式操作；
    根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整。
  11. 根据权利要求10所述的方法，其特征在于，所述根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整之前，还包括：
    根据所述关键点对所述拍摄图像的区域进行划分，得到多个子图像区域。
  12. 根据权利要求11所述的方法，其特征在于，所述拍摄模式包括自定义模式，所述根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整，包括：
    根据所述自定义模式，获取各子图像区域自定义亮度操作，得到所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值；
    根据所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值，对所述拍摄装置的快门，和/或感光度进行调整。
  13. 根据权利要求11所述的方法，其特征在于，所述拍摄模式包括非自定义模式，所述根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整，包括：
    根据非自定义模式下所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值，对所述拍摄装置的快门，和/或感光度进行调整。
  14. 根据权利要求1-13任一项所述的方法，其特征在于，
    所述拍摄图像包括人脸图像。
  15. 一种拍摄处理设备，其特征在于，包括：处理器和存储器；
    所述存储器，用于存储程序指令；
    所述处理器，执行所述存储器存储的程序指令，当程序指令被执行时，所述处理器用于执行如下步骤：
    接收拍摄装置拍摄目标对象采集到的拍摄图像；
    获取所述拍摄图像的关键点；
    判断所述关键点的清晰度信息是否满足清晰条件；
    如果所述关键点的清晰度信息不满足所述清晰条件，则对所述拍摄装置的拍摄参数进行调整。
  16. 根据权利要求15所述的设备，其特征在于，
    所述处理器获取所述拍摄图像的关键点时，具体用于确定所述拍摄图像中的目标图像区域；获取所述目标图像区域的关键点。
  17. 根据权利要求16所述的设备，其特征在于，
    所述处理器确定所述拍摄图像中的目标图像区域时，具体用于根据图像区 域选取操作从所述拍摄图像中确定所述目标图像区域。
  18. 根据权利要求15所述的设备，其特征在于，
    所述拍摄参数包括光圈、快门、感光度中的任意一种或多种。
  19. 根据权利要求16所述的设备，其特征在于，
    所述处理器判断所述关键点的清晰度信息是否满足清晰条件时，具体用于确定所述关键点的清晰度评价函数的响应值；检测在对所述拍摄装置的拍摄参数进行调整之后，所述清晰度评价函数的响应值是否发生变化；如果检测结果为否，则确定所述关键点的清晰度信息满足所述清晰条件；如果检测结果为是，则确定所述清晰度信息不满足所述清晰条件。
  20. 根据权利要求19所述的设备，其特征在于，
    所述处理器，具体用于如果所述关键点的清晰度信息不满足所述清晰条件，则执行所述对所述拍摄装置的拍摄参数进行调整的操作。
  21. 根据权利要求20所述的设备，其特征在于，
    所述处理器对所述拍摄装置的拍摄参数进行调整时，具体用于将所述清晰度评价函数的响应值发生变化的关键点确定为待调整关键点；
    根据所述待调整关键点的清晰度评价函数的响应值，对所述拍摄装置的拍摄参数进行调整。
  22. 根据权利要求21所述的设备，其特征在于，
    所述处理器确定所述关键点的清晰度信息满足所述清晰条件之后，还用于以所述拍摄参数拍摄图像。
  23. 根据权利要求22所述的设备，其特征在于，所述拍摄参数包括光圈，
    所述处理器对所述拍摄装置的拍摄参数进行调整时，具体用于缩小所述光圈的尺寸。
  24. 根据权利要求22所述的设备，其特征在于，所述拍摄参数还包括快门时间，和/或感光度，
    所述处理器以所述拍摄参数拍摄图像之前，还用于获取拍摄模式操作；根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整。
  25. 根据权利要求24所述的设备，其特征在于，
    所述处理器根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整之前，还用于根据所述关键点对所述拍摄图像的区域进行划分，得到多个子图像区域。
  26. 根据权利要求25所述的设备，其特征在于，所述拍摄模式包括自定义模式，
    所述处理器根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整时，具体用于根据所述自定义模式，获取各子图像区域自定义亮度操作，得到所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值；根据所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值，对所述拍摄装置的快门，和/或感光度进行调整。
  27. 根据权利要求25所述的设备，其特征在于，所述拍摄模式包括非自定义模式，
    所述处理器根据所述拍摄模式，对所述拍摄装置的快门，和/或感光度进行调整时，具体用于根据非自定义模式下所述各子图像区域在亮度评价函数中所占权重及所述亮度评价函数的响应值，对所述拍摄装置的快门，和/或感光度进行调整。
  28. 根据权利要求15-27任一项所述的设备，其特征在于，
    所述拍摄图像包括人脸图像。
  29. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如权利要求1至14任 一项所述方法。
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