WO2021147648A1 - Procédé et dispositif de suggestion, support de stockage et appareil électronique - Google Patents

Procédé et dispositif de suggestion, support de stockage et appareil électronique Download PDF

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Publication number
WO2021147648A1
WO2021147648A1 PCT/CN2020/142345 CN2020142345W WO2021147648A1 WO 2021147648 A1 WO2021147648 A1 WO 2021147648A1 CN 2020142345 W CN2020142345 W CN 2020142345W WO 2021147648 A1 WO2021147648 A1 WO 2021147648A1
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WIPO (PCT)
Prior art keywords
posture
human body
electronic device
target
ratio
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PCT/CN2020/142345
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English (en)
Chinese (zh)
Inventor
吴佳涛
蒋燚
李亚乾
Original Assignee
Oppo广东移动通信有限公司
上海瑾盛通信科技有限公司
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Publication of WO2021147648A1 publication Critical patent/WO2021147648A1/fr

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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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions

Definitions

  • This application belongs to the field of electronic technology, and in particular relates to a prompt method, device, storage medium, and electronic equipment.
  • the embodiments of the present application provide a prompt method, device, storage medium, and electronic equipment, which can intelligently perform horizontal and vertical screen photography recommendations.
  • an embodiment of the present application provides a prompt method applied to an electronic device, including:
  • an embodiment of the present application provides a prompt device, which is applied to an electronic device, and includes:
  • the acquisition module is used to acquire state information of the human body in the shooting scene
  • the determining module is used to determine the target posture from the horizontal screen posture and the vertical screen posture according to the state information;
  • the generating module is used to generate and output prompt information for adjusting the posture of the electronic device when the current posture of the electronic device is different from the target posture.
  • an embodiment of the present application provides a storage medium on which a computer program is stored.
  • the computer program is executed on a computer, the computer is caused to execute the process in the prompt method provided by the embodiment of the present application.
  • an embodiment of the present application also provides an electronic device, including a memory and a processor, and the processor is used to execute the process in the prompt method provided by the embodiment of the present application by calling a computer program stored in the memory. .
  • FIG. 1 is a schematic diagram of the first flow of a prompt method provided by an embodiment of the present application.
  • FIG. 2 is a schematic diagram of the second flow of the prompt method provided by an embodiment of the present application.
  • FIG. 3 is a schematic diagram of a scene of a prompt method provided by an embodiment of the present application.
  • FIG. 4 is a schematic flowchart of a third method of prompting provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of the structure of a prompting device provided by an embodiment of the present application.
  • FIG. 6 is a schematic diagram of a first structure of an electronic device provided by an embodiment of the present application.
  • FIG. 7 is a schematic diagram of a second structure of an electronic device provided by an embodiment of the present application.
  • Fig. 8 is a schematic structural diagram of an image processing circuit provided by an embodiment of the present application.
  • the embodiment of the present application provides a prompt method, including:
  • the state information is a human body bounding box
  • the acquiring state information of the human body in the shooting scene includes:
  • the determining the target posture from the horizontal screen posture and the vertical screen posture according to the state information includes:
  • the target posture is determined from the horizontal screen posture and the vertical screen posture.
  • the determining the target posture from the horizontal screen posture and the vertical screen posture according to the ratio includes:
  • the horizontal screen attitude is determined as the target attitude.
  • the determining the target posture from the horizontal screen posture and the vertical screen posture according to the ratio includes:
  • the target posture is determined from the horizontal screen posture and the vertical screen posture.
  • the determining the target posture from the horizontal screen posture and the vertical screen posture according to the ratio and the area percentage includes:
  • the vertical screen posture is determined as the target posture.
  • the determining the target posture from the horizontal screen posture and the vertical screen posture according to the ratio and the area percentage includes:
  • the ratio is not greater than the preset ratio, the area percentage is not greater than the preset percentage, and the set of human body key points does not include the preset key points, the horizontal screen posture is determined as the target posture.
  • the state information is a human body posture
  • determining the target posture from a horizontal screen posture and a vertical screen posture according to the state information includes:
  • the target posture is determined from the horizontal screen posture and the vertical screen posture.
  • the execution subject of the embodiments of the present application may be an electronic device such as a smart phone or a tablet computer.
  • FIG. 1 is a schematic diagram of the first flow of the prompting method provided by an embodiment of the present application.
  • the prompting method can be applied to an electronic device, and the flow may include:
  • the state information of the human body in the shooting scene is acquired.
  • the electronic device may first obtain a preview image of the shooting scene. Then, the electronic device can perform scene recognition on the preview image to confirm the preview image, that is, whether there is a single human body in the shooting scene. If there is a single human body in the shooting scene, the electronic device can obtain state information of the human body in the shooting scene. If there is no human body or multiple human bodies in the shooting scene, the electronic device can directly end the process.
  • the scene to which the camera of the electronic device is aimed is the shooting scene.
  • the shooting scene does not specifically refer to a specific scene, but a scene that is aligned in real time following the direction of the camera.
  • the state information of the human body may include: a human body bounding box, a human body posture, and so on.
  • the target posture is determined from the horizontal screen posture and the vertical screen posture.
  • the electronic device after obtaining the state information of the human body in the shooting scene, can determine the target posture from the horizontal screen posture and the vertical screen posture according to the state information.
  • the target posture is any posture of the horizontal screen posture and the vertical screen posture.
  • the electronic device may obtain the width and height of the human body bounding box, and calculate the ratio of the width to the height.
  • the electronic device may determine the vertical screen posture as the target posture.
  • the preset ratio can be pre-stored in the electronic device according to actual conditions.
  • the electronic device may obtain the width and height of the human body bounding box, and calculate the ratio of the width to the height.
  • the electronic device can also determine the percentage of the area of the human body bounding box in the preview image. When the ratio is not greater than the preset ratio and the area percentage is not greater than the preset percentage, the electronic device may determine the horizontal screen posture as the target posture.
  • the electronic device can detect whether the current posture of the electronic device is the same as the target posture. If the current posture of the electronic device is different from the target posture, the electronic device may generate and output prompt information for adjusting the posture of the electronic device. For example, when the current posture of the electronic device is the vertical screen posture and the target posture is the horizontal screen posture, the prompt message is: Please place the electronic device horizontally so that the electronic device is in the horizontal screen posture.
  • the electronic device can generate a prompt message.
  • the prompt information is used to prompt the user that the current posture of the electronic device is a recommended photo-taking posture, so as to prevent the user from adjusting the posture of the electronic device from the current posture to another posture.
  • the horizontal and vertical screen photography recommendations can be intelligently performed according to the state information of the human body in the shooting scene, and a suitable electronic device posture can be determined from the horizontal screen posture and the vertical screen posture according to the state information, and generate And output a prompt message to prompt the user to adjust the electronic device to the appropriate posture to take a photo, so that when the user adjusts the posture of the electronic device to the appropriate posture, a higher-quality image can be captured.
  • FIG. 2 is a schematic diagram of the second flow of the prompt method provided by an embodiment of the present application.
  • the prompt method can be applied to an electronic device, and the flow may include:
  • the electronic device acquires a preview image of the shooting scene.
  • the electronic device may obtain a preview image of the shooting scene. Wherein, when the electronic device points the camera at the shooting scene, the picture presented on the display screen of the electronic device is the preview image.
  • the electronic device uses the portrait detection model to perform portrait detection on the preview image to obtain a human body bounding box.
  • the electronic device may obtain an image sample containing the human body in advance to train a deep learning model such as a convolutional neural network to obtain a trained model.
  • the trained model can be used as the portrait detection in the embodiment of the present application. Model.
  • the electronic device may use a pre-trained scene recognition model to perform scene recognition on the preview image to confirm whether there is a single human body in the preview image.
  • the electronic device can use a pre-trained portrait detection model to perform portrait detection on the preview image to obtain a human body bounding box.
  • the electronic device can directly end the process.
  • the electronic device may use a pre-trained target detection model to perform target detection on the preview image to obtain a bounding box of the human body. It should be noted that the target detection model only detects the human body in the preview image, and does not detect other objects.
  • the electronic device determines the width and height of the bounding box of the human body.
  • the electronic device calculates the ratio of width to height.
  • the electronic device can obtain the upper left corner coordinates and the lower right corner coordinates of the human body bounding box, and determine the width and height of the human body bounding box by the upper left corner coordinates of the human body bounding box and the upper right corner coordinates of the human body bounding box. , And calculate the ratio of the width of the human body bounding box to the height of the human body bounding box.
  • the coordinates of the upper left corner can be expressed as (x1, y1)
  • the coordinates of the lower right corner can be expressed as (x2, y2)
  • the width of the human body bounding box
  • the height of the human body bounding box
  • x1 and y1 are the abscissa and ordinate of the upper left corner of the human body bounding box in the screen coordinate system; x2 and y2 are the abscissa and ordinate of the lower right corner of the human body bounding box in the screen coordinate system, respectively.
  • the width of the human body bounding box is 60
  • the height of the human body bounding box is 20, and the body boundary
  • the ratio of the width of the box to the height of the bounding box of the human body is 4.
  • the electronic device determines the target posture from the horizontal screen posture and the vertical screen posture according to the ratio.
  • the electronic device can determine the target posture from the horizontal screen posture and the vertical screen posture according to the ratio.
  • the electronic device can confirm that the human body in the shooting scene is more likely to be in a posture such as "sitting" or "standing", then the electronic device can determine the vertical screen posture as the target posture, that is, It is recommended to take pictures in portrait mode first.
  • the preset ratio can be pre-stored in the electronic device according to actual conditions.
  • the preset ratio can be 1, 1.5 or 2, and so on.
  • the electronic device when the current posture of the electronic device is different from the target posture, the electronic device generates and outputs prompt information for adjusting the posture of the electronic device.
  • the electronic device can detect whether the current posture of the electronic device is the same as the target posture. If the current posture of the electronic device is different from the target posture, the electronic device may generate and output prompt information for adjusting the posture of the electronic device.
  • the prompt message can be: Please put the phone upright so that the phone is in the vertical screen posture.
  • the electronic device can generate a prompt message.
  • the prompt information is used to prompt the user that the current posture of the electronic device is a recommended photo-taking posture, so as to prevent the user from adjusting the posture of the electronic device from the current posture to another posture.
  • the electronic device may generate and output prompt information for adjusting the posture of the electronic device.
  • the user can adjust the posture of the electronic device according to the prompt information, so that the electronic device is in the target posture.
  • the electronic device can obtain the current posture of the electronic device through sensors such as a gyroscope sensor. Subsequently, the electronic device can detect whether the current posture of the electronic device is the same as the target posture.
  • the electronic device can cut out the human body image from the preview image based on the human body bounding box.
  • the electronic device can use the pre-trained key point detection model to perform key point detection on the human body image to obtain the human body key point set in the human body image, that is, the human body in the preview image. Then, the electronic device can determine a set of composition key points corresponding to the shooting scene. The key points of the composition are set to be reasonable. When the human body key point set matches the composition key point set, the electronic device can shoot the current shooting scene to obtain a target image that meets certain aesthetic rules, that is, the composition is reasonable. When the set of key points of the human body does not match the set of key points of the composition, the electronic device may generate and output prompt information of the mobile electronic device. When the real-time human body key point set matches the composition key point set, the electronic device can shoot the real-time shooting scene to obtain a target image that meets certain aesthetic rules, that is, the composition is reasonable.
  • the mobile electronic device refers to that the user moves the electronic device horizontally to the left, horizontally to the right, horizontally forward, horizontally backward, vertically upwards, and vertically downwards relative to the user. It is understandable that as the electronic device continues to move, the shooting scene will continue to change, and the constantly changing shooting scene is the real-time shooting scene. With the continuous change of the shooting scene, the position of the human body key points of the human body in the shooting scene will also change, and the human body key points at the constantly changing positions are the real-time human body key points in the real-time human body key point set.
  • the set of key points of the human body can include: nose, left eye, right eye, left ear, right ear, neck, left shoulder, right shoulder, left elbow, right elbow, left wrist, right wrist, left hip, right hip, left knee, right One or more of key points such as knee, left ankle, and right ankle.
  • the electronic device determines the set of composition key points corresponding to the shooting scene may include:
  • the device can divide the preview image into a foreground image and a background image according to the result of the scene recognition.
  • the scene recognition result may include the foreground label of the image and the background label of the image
  • the electronic device may divide the preview image into the foreground image and the background image according to the foreground label and the background label.
  • the foreground label is used to describe an object that is in a prominent position in the preview image and can be identified by a rectangular frame.
  • the background label is used to describe the overall information of the preview image.
  • the background label can be "mountain view”, “water scene”, “snow scene”, “rain scene”, etc.
  • the foreground label can be "person”, “cat”, “dog” "Wait.
  • the foreground label can be "person” and the background label can be "waterscape”
  • the foreground image can be an image containing "people”
  • the background image can be "waterscape” image.
  • a plurality of different preset background images can be preset in the electronic device, and a plurality of different candidate key point sets can be set for each preset background image.
  • the preset background image may be a “water scene” image, a “mountain view” image, a “snow scene” image, and so on.
  • Each set of candidate key points can include: nose, left eye, right eye, left ear, right ear, neck, left shoulder, right shoulder, left elbow, right elbow, left wrist, right wrist, left hip, right hip, left knee , Right knee, left ankle, right ankle, and other candidate key points.
  • the electronic device can acquire a plurality of preset background images. Subsequently, the electronic device can determine whether there is a preset background image matching the background image among the plurality of preset background images. Wherein, assuming that the background image is a “water scene” image, and there is also a “water scene” image in the preset background image, the electronic device may determine that there is a preset background image matching the background image among the plurality of preset background images.
  • the electronic device can obtain a plurality of candidate key point sets corresponding to the preset background image matching the background image, and use it as the background A set of multiple candidate key points corresponding to the image. After that, the electronic device can determine the human body type of the human body in the shooting scene. Then, the electronic device may determine the candidate key point set corresponding to the human body type among the multiple candidate key point sets as the composition key point set corresponding to the shooting scene.
  • the electronic device may also set a corresponding type for each candidate key point set corresponding to each preset background image. For example, if a certain candidate key point set includes the nose, left eye, right eye, left ear, right ear, neck, left shoulder, right shoulder and other key points above the human chest, the electronic device can determine the corresponding candidate key point set
  • the type is a bust type.
  • the electronic device may determine that the type corresponding to the set of candidate key points is a full-body image type. After determining the type of the human body, the electronic device can obtain the type corresponding to each candidate key point set corresponding to the background image to obtain multiple types.
  • the electronic device may determine the type matching the human body type from the multiple types, and determine the candidate key point set corresponding to the type matching the human body type as the candidate key point set corresponding to the human body type. For example, suppose that the human body type is a full-length image type, and the multiple types include a bust type and a full-length image type. Then, the electronic device may determine the candidate key point set corresponding to the full-length image type among the multiple types as the candidate key point set corresponding to the human body type.
  • the prompt method provided in the embodiment of the present application may further include:
  • the human body type is a full body image type
  • the types corresponding to the candidate key point set K1 and the candidate key point set K2 are both full body image types. Only the candidate key points included in the candidate key point set K1 and the candidate key point set K2 are in The position in the screen coordinate system is different, then the candidate key point set corresponding to the human body type includes the candidate key point set K1 and the candidate key point set K2.
  • the electronic device may also set multiple different composition bounding boxes for each preset background image. Among them, each candidate key point set corresponds to a composition bounding box. When there are multiple candidate key point sets corresponding to the human body type, for each candidate key point set corresponding to the human body type. The electronic device can obtain its corresponding composition bounding box. Subsequently, the electronic device may determine a set of candidate key points in which the composition bounding box matches the bounding box of the human body among the plurality of candidate key point sets corresponding to the human body type as the composition key point set corresponding to the shooting scene.
  • the electronic device may determine that the composition bounding box corresponding to the candidate key point set matches the human body bounding box.
  • the first preset difference value range and the second preset difference value range may be stored in the electronic device in advance.
  • the electronic device may also Obtain the coordinates of the upper left corner of the composition bounding box corresponding to each first candidate key point set, and obtain the coordinates of the upper left corner of the human body bounding box, and compare the coordinates of the upper left corner of the composition bounding box in the plurality of first candidate key point sets to the body boundary
  • the first candidate key point set with the same coordinates of the upper left corner of the frame is determined as the composition key point set corresponding to the shooting scene.
  • the electronic device can also obtain the coordinates of the lower right corner of the composition bounding box corresponding to each second candidate key point set, and obtain the coordinates of the lower right corner of the human body bounding box, and combine the plurality of second candidate key point sets in the composition boundary
  • the second candidate key point set whose coordinates of the lower right corner of the frame are the same as the coordinates of the lower right corner of the human body boundary box is determined as the composition key point set corresponding to the shooting scene.
  • the electronic device may be preset with a composition database.
  • the composition database can be defined as a hash table.
  • the hash table is a data structure that directly accesses the storage location in memory based on the key (Key), which is called the value (Value). In other words, it accesses records by calculating a function about the key value and mapping the data to be queried to a position in the table.
  • the key refers to each preset background image, such as "water scene” image, "mountain view” image, "snow scene” image, etc.
  • the value refers to the candidate key point set and composition bounding box corresponding to each preset background image.
  • a preset background image can correspond to multiple candidate key point sets and multiple composition bounding boxes, where each candidate key point set corresponding to each preset background image corresponds to a composition bounding box corresponding to each preset background image correspond.
  • the electronic device can obtain a preset background image that matches the background image. If the background image is a "water scene” image, it matches the background image The preset background image of is also a "water scene” image.
  • the electronic device can use a preset background image matching the background image as a key.
  • the electronic device can find multiple candidate key point sets and multiple composition bounding boxes mapped in the composition database through this key, and use multiple candidate key point sets and multiple composition bounding boxes as the multiple corresponding to the background image. A set of candidate keypoints and multiple composition bounding boxes.
  • the set of key points of the human body does not match the set of key points of the composition, including: the average distance is not less than the preset average distance.
  • the set of human body key points includes: nose N1, left eye LE1, and right eye RE1; the composition key point set includes: nose N2, left eye LE2, and right eye RE2.
  • the electronic device can calculate the distance L1 between the nose N1 and the nose N2, the distance L2 between the left eye LE1 and the left eye LE2, and the distance L3 between the right eye RE1 and the right eye RE2. Subsequently, the electronic device may calculate the average distance of the distances L1, L2, and L3. When the average distance is not less than the preset average distance, the electronic device can determine that the set of key points of the human body does not match the set of key points of the composition.
  • the electronic device can determine that the set of key points of the human body matches the set of key points of the composition.
  • the preset average distance can be stored in the electronic device in advance according to actual conditions, and there is no specific limitation here.
  • "generating and outputting prompt information for adjusting the posture of the electronic device” includes:
  • the electronic device may randomly generate multiple candidate vectors.
  • the candidate vector can include size and direction.
  • the size of the candidate vector can be 1 cm, and the direction is horizontal to right.
  • the electronic device can predict the set of key points of the target human body obtained after adjusting the posture of the electronic device according to each candidate vector. For example, assuming that the size of a candidate vector is 1 cm and the direction is horizontal to the right, the electronic device can predict that when the user moves the electronic device 1 cm horizontally to the right, the electronic device will detect the key points of the human body in the current shooting scene , The set of key points of the target human body obtained.
  • the electronic device can detect whether it matches the composition key point set. When the target human body key point set corresponding to a certain candidate vector matches the composition key point set, the electronic device may determine the candidate vector as the target vector. Subsequently, the electronic device can generate and output prompt information for adjusting the posture of the electronic device according to the target vector. For example, if the size of the target vector is 1 cm and the direction is horizontal to the right, then the electronic device can be displayed on the display screen: Please move the electronic device horizontally to the right by 1 cm. The electronic device can also display a progress bar on the display screen. The length of the progress bar corresponds to 1 cm.
  • the progress bar can gradually become shorter as the electronic device continues to move to the right; the progress bar can continue to follow the electronic device. Move to the left and slowly grow longer. When the electronic device moves 1 cm, the progress bar also disappears. Therefore, the user can confirm whether the electronic device has moved 1 cm according to whether the progress bar disappears.
  • the human body key point set does not match the composition key point set may include: the face key point set does not match the target composition key point set.
  • the electronic device can judge whether the part of the human body key point set matches a part of the composition key point set in the composition key point set. Whether the set of key points of the human body matches the set of key points of the composition.
  • the electronic device can determine the face key point set from the human body key point set, such as the nose N1, the left eye LE1, and the right eye RE1. Subsequently, the electronic device can obtain the abscissa of each key point of the face in the screen coordinate system to obtain multiple first abscissas. Then, the electronic device can calculate the first average value of the plurality of first abscissas. When the first average value is within the preset average value range, the electronic device can determine the target composition key point set corresponding to the face key point set from the composition key point set, such as the nose N2, the left eye LE2, and the right eye RE2.
  • the electronic device can detect whether the set of key points of the face matches the set of key points of the target composition. If it does not match, the electronic device can determine that the set of key points of the human body does not match the set of key points of the composition. If they match, the electronic device can determine that the set of key points of the human body matches the set of key points of the composition.
  • the preset mean value range can be pre-stored in the electronic device according to actual conditions.
  • composition key point set corresponding to the face key point set from the composition key point set
  • it may further include:
  • the set of key points of the face does not match the set of key points of the target composition
  • the key point set of a human face includes a nose N1, a left eye LE1, and a right eye RE1
  • the target composition key point set includes a nose N2, a left eye LE2, and a right eye RE2.
  • the abscissa of nose N1 is 1, the ordinate is 2; the abscissa of left eye LE1 is 4, and the ordinate is 1, the abscissa of right eye RE1 is 4, and the ordinate is 3; the abscissa of nose N2 is 3, The ordinate is 3; the abscissa of the left eye LE2 is 6, and the ordinate is 2; the abscissa of the right eye RE2 is 6, and the ordinate is 4; the first preset distance is 2.
  • the first average value is 3, the second average value is 2, the third average value is 5, and the fourth average value is 3.
  • the first target coordinate is (3, 2), and the second target coordinate is (5, 3).
  • the first distance between the first target coordinate and the second target coordinate is It can be determined that the first distance is greater than the first preset distance, and then the electronic device can determine that the face key point set does not match the target composition key point set, so that it can determine that the human body key point set does not match the composition key point set.
  • the respective abscissas and ordinates of the nose N1, the left eye LE1, the right eye RE1, the nose N2, the left eye LE2, and the right eye RE2 are coordinates in the screen coordinate system.
  • the first preset distance can be pre-stored in the electronic device according to actual conditions.
  • "generating and outputting prompt information for adjusting the posture of the electronic device” includes:
  • the first moving direction may be a direction from the first target coordinate to the second target coordinate.
  • the first moving direction is horizontal to the right
  • the first distance is Then the electronic device can be displayed on the display: Please move the electronic device horizontally to the right.
  • the electronic device can also display a progress bar on the display screen, the progress bar corresponding to the first distance, and the progress bar can gradually become shorter as the electronic device moves to the right; the progress bar can follow the electronic device Keep moving to the left and slowly grow longer.
  • the progress bar also disappears. Therefore, the user can confirm when to stop moving the electronic device according to whether the progress bar disappears.
  • the set of key points of the human body does not match the set of key points of the composition may include: the second distance is not less than the second preset distance.
  • the electronic device can also detect whether there is a preset key point in the set of human body key points. If there are no preset key points in the human body key point set, the electronic device can obtain the center coordinates of the human body boundary box, that is, the first center coordinates, and the center coordinates of the composition boundary box corresponding to the composition key point set, that is, the second center coordinates. Subsequently, the electronic device may calculate the second distance between the first center coordinate and the second center coordinate. When the second distance is not less than the second preset distance, the electronic device can determine that the set of key points of the human body does not match the set of key points of the composition.
  • the electronic device may determine that the set of key points of the human body matches the set of key points of the composition.
  • the first center coordinates and the second center coordinates are both coordinates in the screen coordinate system.
  • the second preset distance may be pre-stored in the electronic device according to actual conditions.
  • the preset key points may include left knee, right knee, left ankle, right ankle, and so on.
  • the electronic device can determine that the set of key points of the human body does not match the set of key points of the composition.
  • "generating and outputting prompt information for adjusting the posture of the electronic device” includes:
  • the second moving direction may be a direction from the first center coordinate to the second center coordinate. Assuming that the second moving direction is horizontal to the right, the second distance is Then the electronic device can be displayed on the display: Please move the electronic device horizontally to the right. At the same time, the electronic device can also display a progress bar on the display screen, the progress bar corresponding to the second distance, and the progress bar can gradually become shorter as the electronic device moves to the right; the progress bar can follow the electronic device Keep moving to the left and slowly grow longer. When the electronic device moves the second distance, the progress bar also disappears. Therefore, the user can confirm when to stop moving the electronic device according to whether the progress bar disappears.
  • the set of key points of the human body does not match the set of key points of the composition may include: the third distance is not less than the third preset distance.
  • the face key point set includes nose N1, left eye LE1, and right eye RE1
  • the target composition key point set includes nose N2, left eye LE2, and right eye RE2.
  • the ordinate of the nose N1 is 2; the ordinate of the left eye LE1 is 1; the ordinate of the right eye RE1 is 3; the ordinate of the nose N2 is 3; the ordinate of the left eye LE2 is 2; the ordinate of the right eye RE2 is Is 4; the first center abscissa of the human body boundary box is 2; the second center abscissa of the composition boundary box corresponding to the composition key point set is 4; the third preset distance is 2.
  • the fifth mean is 2 and the sixth mean is 3.
  • the third target coordinate is (2, 2), and the fourth target coordinate is (4, 3).
  • the third distance between the third target coordinate and the fourth target coordinate is It can be determined that the third distance is greater than the third preset distance, and the electronic device can determine that the set of key points of the human body does not match the set of key points of the composition. It can be understood that if the third distance is less than the preset distance, the electronic device can determine that the set of key points of the human body matches the set of key points of the composition.
  • the first center abscissa of the human body boundary box is the abscissa of the center of the human body boundary box in the screen coordinate system
  • the second center abscissa of the composition boundary box corresponding to the composition key point set is the composition boundary corresponding to the composition key point set
  • the preset third distance can be stored in the electronic device according to actual conditions.
  • the preset key points may include left knee, right knee, left ankle, right ankle, and so on.
  • "generating and outputting prompt information for adjusting the posture of the electronic device” includes:
  • the third moving direction may be a direction from the third target coordinate to the fourth target coordinate. Assuming that the third moving direction is horizontal to the right, and the third distance is Then the electronic device can be displayed on the display: Please move the electronic device horizontally to the right. At the same time, the electronic device can also display a progress bar on the display screen, the progress bar corresponding to the third distance, and the progress bar can gradually become shorter as the electronic device moves to the right; the progress bar can follow the electronic device Keep moving to the left and slowly grow longer. When the electronic device moves the third distance, the progress bar also disappears. Therefore, the user can confirm whether to stop moving the electronic device according to whether the progress bar disappears.
  • the prompt message when the prompt message is: Please horizontally position the electronic device so that the electronic device is in a landscape orientation, the user can horizontally position the electronic device, so that the electronic device is in a landscape orientation.
  • the electronic device obtains the current posture of the electronic device through sensors such as a gyroscope sensor. Subsequently, the electronic device can detect whether the current posture of the electronic device is a landscape posture. If it is detected that the current posture of the electronic device is the landscape posture, the electronic device can generate and output the prompt information of the mobile electronic device, so that the human body in the real-time shooting scene conforms to the left thirds composition method or the right thirds composition method.
  • the prompt information of the mobile electronic device generated and output by the electronic device can be: Please move the electronic device horizontally to the right .
  • the prompt message when the prompt message is: Please put the electronic device upright so that the electronic device is in the vertical screen posture, the user can put the electronic device upright, so that the electronic device is in the vertical screen posture.
  • the electronic device obtains the current posture of the electronic device through sensors such as a gyroscope sensor. Subsequently, the electronic device can detect whether the current posture of the electronic device is a portrait posture. If it is detected that the current posture of the electronic device is the vertical screen posture, the electronic device may generate and output prompt information of the mobile electronic device, so that the human body in the real-time shooting scene conforms to the center of gravity composition method.
  • the prompt information of the mobile electronic device generated and output by the electronic device may be: Please move the electronic device vertically upward.
  • the process 205 may include:
  • the electronic device determines the horizontal screen attitude as the target attitude.
  • the electronic device can confirm that the human body in the shooting scene is more likely to be lying on its side or lying down, then the electronic The device can determine the horizontal screen posture as the target posture, that is, it is recommended to take pictures on the horizontal screen first.
  • the preset ratio can be stored in the electronic device according to the actual situation.
  • the process 205 may include:
  • the electronic device determines the percentage of the area of the human body bounding box in the preview image
  • the electronic device determines the target posture from the horizontal screen posture and the vertical screen posture according to the ratio and the area percentage.
  • the electronic device may also determine the area percentage of the human body boundary box in the preview image. For example, if the area of the human body bounding box is 40 millimeters and the area of the preview image is 200 millimeters, the area percentage of the human body bounding box in the preview image is 20%.
  • the electronic device may combine the ratio of the width of the human body boundary box to the height of the human body boundary box and the percentage of the area of the human body boundary box in the preview image to determine the target posture from the horizontal screen posture and the vertical screen posture. For example, when the ratio is not greater than the preset ratio, and the area percentage is not greater than the preset percentage, the electronic device may determine the horizontal screen posture as the target posture. Among them, the preset percentage can be pre-stored in the electronic device according to actual conditions.
  • the electronic device determines the target posture from the horizontal screen posture and the vertical screen posture according to the ratio and the area percentage may include:
  • the electronic device determines the vertical screen posture as the target posture.
  • the electronic device can confirm that the user is more likely If you want to take a close-up shot of a person, the electronic device may determine the portrait posture as the target posture, that is, the portrait photo is preferred.
  • the preset percentage can be preset and stored in the electronic device according to actual conditions.
  • the electronic device determines the target posture from the horizontal screen posture and the vertical screen posture according to the ratio and the area percentage may include:
  • the electronic device cuts out the human body image from the preview image based on the human body bounding box
  • the electronic device uses the key point detection model to detect the key points of the human body image to obtain the human body key point set of the human body;
  • the electronic device determines the horizontal screen posture as the target posture.
  • the electronic device can also crop the human body image from the preview image based on the human body bounding box. Subsequently, the electronic device can use the pre-trained key point detection model to perform key point detection on the human body image to obtain the human body key point set of the human body.
  • the electronic device can combine the ratio of the width of the human body boundary box to the height of the human body boundary box, the area percentage of the human body boundary box in the preview image, and the set of key points of the human body to determine the target posture from the horizontal screen posture and the vertical screen posture.
  • the set of key points of the human body can include: nose, left eye, right eye, left ear, right ear, neck, left shoulder, right shoulder, left elbow, right elbow, left wrist, right wrist, left hip, right hip, left knee , Right knee, left ankle, right ankle, and other key points.
  • the electronic device can confirm that the human body in the shooting scene is only the waist and above, and The area of the bounding box of the human body is small, and it can be considered that the user is more likely to want to take portrait landscape photos. Then, in order to take as many landscapes as possible, the electronic device can determine the landscape orientation as the target orientation, that is, the landscape orientation is recommended first Photograph.
  • FIG. 4 is a schematic diagram of a third process of the prompt method provided by an embodiment of the present application.
  • the prompt method can be applied to an electronic device, and the process may include:
  • the electronic device acquires the human body posture of the human body in the shooting scene.
  • the electronic device can obtain a preview image of the shooting scene. Subsequently, the electronic device can use the pre-trained portrait detection model to perform portrait detection on the preview image to obtain the human body bounding box. Then, the electronic device can cut out the human body image from the preview image based on the human body bounding box. Subsequently, the electronic device can use the pre-trained key point detection model to perform key point detection on the human body image to obtain the human body key point set of the human body in the shooting scene. Finally, the electronic device can input the set of key points of the human body into the pre-trained posture recognition model to recognize the posture of the human body in the shooting scene. For example, the posture of the human body can be dance moves, martial arts moves, and so on.
  • the electronic device obtains a preset mapping relationship between the posture and the posture.
  • the electronic device determines the target posture from the horizontal screen posture and the vertical screen posture according to the human body posture and the preset mapping relationship.
  • the preset mapping relationship between the posture and the posture can be set in the electronic device in advance.
  • the posture is the posture of the electronic device, which may include a horizontal screen posture and a vertical screen posture.
  • multiple postures can be set to correspond to one posture.
  • the postures P1, P2, P3 correspond to the horizontal screen posture; the postures P4, P5, P6, P7 correspond to the vertical screen posture, and so on.
  • the electronic device may obtain the preset mapping relationship between the posture and the posture. Subsequently, the electronic device can determine the target posture from the horizontal screen posture and the vertical screen posture according to the human body posture and the preset mapping relationship. For example, assuming that the human posture is P1, and the electronic device determines that the posture P1 corresponds to the landscape posture according to the preset mapping relationship between the posture and the posture, the electronic device may determine the landscape posture as the target posture, that is, preferentially recommend the landscape photo.
  • the electronic device when the current posture of the electronic device is different from the target posture, the electronic device generates and outputs prompt information for adjusting the posture of the electronic device.
  • the electronic device can detect whether the current posture of the electronic device is the same as the target posture. If the current posture of the electronic device is different from the target posture, the electronic device may generate and output prompt information for adjusting the posture of the electronic device. For example, when the current posture of the electronic device is the vertical screen posture and the target posture is the horizontal screen posture, the prompt message is: Please place the electronic device horizontally so that the electronic device is in the horizontal screen posture.
  • FIG. 5 is a schematic structural diagram of a prompting device provided by an embodiment of this application.
  • the prompting device can be applied to electronic equipment, and the prompting device 400 can include: an obtaining module 401, a determining module 402, and a generating module 403.
  • the obtaining module 401 is used to obtain state information of the human body in the shooting scene.
  • the determining module 402 is configured to determine the target posture from the horizontal screen posture and the vertical screen posture according to the state information.
  • the generating module 403 is configured to generate and output prompt information for adjusting the posture of the electronic device when the current posture of the electronic device is different from the target posture.
  • the state information is a human body bounding box
  • the acquiring module 401 may be used to: acquire a preview image of a shooting scene; use a portrait detection model to perform portrait detection on the preview image to obtain a human body bounding box;
  • the determining module 402 may be used to: determine the width and height of the human body bounding box; calculate the ratio of the width to the height; according to the ratio, determine the target posture from the horizontal screen posture and the vertical screen posture .
  • the determining module 402 may be used to determine the horizontal screen posture as the target posture when the ratio is greater than a preset ratio.
  • the determining module 402 may be used to determine the area percentage of the human body bounding box occupies the preview image; according to the ratio and the area percentage, from the landscape orientation and the portrait orientation Determine the target posture.
  • the determining module 402 may be used to determine the vertical screen posture as the target posture when the ratio is not greater than the preset ratio and the area percentage is greater than the preset percentage.
  • the determining module 402 may be used to: cut out a human body image from the preview image based on the human body bounding box; use a key point detection model to perform key point detection on the human body image to obtain The human body key point set of the human body; when the ratio is not greater than the preset ratio, the area percentage is not greater than the preset percentage, and the human body key point set does not include the preset key points, the horizontal screen posture is determined For the target posture.
  • the state information is a human posture
  • the determining module 402 can be used to: obtain a preset mapping relationship between posture and posture; according to the human posture and the preset mapping relationship, from the horizontal screen
  • the target posture is determined from the posture and the vertical screen posture.
  • the embodiment of the present application provides a computer-readable storage medium on which a computer program is stored.
  • the computer program is executed on a computer, the computer is caused to execute the process in the prompt method provided in this embodiment.
  • An embodiment of the present application further provides an electronic device including a memory and a processor, and the processor is configured to execute the process in the prompt method provided in this embodiment by calling a computer program stored in the memory.
  • the above-mentioned electronic device may be a mobile terminal such as a tablet computer or a smart phone.
  • FIG. 6 is a schematic diagram of the first structure of an electronic device provided by an embodiment of this application.
  • the electronic device 500 may include a camera module 501, a memory 502, a processor 503 and other components.
  • a camera module 501 may include a camera module 501, a memory 502, a processor 503 and other components.
  • FIG. 6 does not constitute a limitation on the electronic device, and may include more or fewer components than those shown in the figure, or a combination of certain components, or different component arrangements.
  • the camera module 501 may include a lens, an image sensor, and an image signal processor.
  • the lens is used to collect an external light source signal and provide it to the image sensor.
  • the image sensor senses the light source signal from the lens and converts it into a digitized original image, namely RAW image, and provide the RAW image to the image signal processor for processing.
  • the image signal processor can perform format conversion and noise reduction on the RAW image to obtain a YUV image.
  • RAW is an unprocessed and uncompressed format, which can be vividly called a "digital negative.”
  • YUV is a color coding method, where Y represents brightness, U represents chroma, and V represents density. Human eyes can intuitively feel the natural features contained in YUV images.
  • the memory 502 can be used to store application programs and data.
  • the application program stored in the memory 502 contains executable code.
  • Application programs can be composed of various functional modules.
  • the processor 503 executes various functional applications and data processing by running application programs stored in the memory 502.
  • the processor 503 is the control center of the electronic device. It uses various interfaces and lines to connect the various parts of the entire electronic device, and executes the electronic device by running or executing the application program stored in the memory 502 and calling the data stored in the memory 502.
  • the various functions and processing data of the electronic equipment can be used to monitor the electronic equipment as a whole.
  • the processor 503 in the electronic device will load the executable code corresponding to the process of one or more application programs into the memory 502 according to the following instructions, and the processor 503 will run and store the executable code in the memory.
  • the electronic device 500 may include a camera module 501, a memory 502, a processor 503, a touch screen 504, a speaker 505, a sensor 506 and other components.
  • the camera module 501 may include an image processing circuit, which may be implemented by hardware and/or software components, and may include various processing units that define an image signal processing (Image Signal Processing) pipeline.
  • the image processing circuit may at least include a camera, an image signal processor (Image Signal Processor, ISP processor), a control logic, an image memory, a display, and so on.
  • the camera may at least include one or more lenses and image sensors.
  • the image sensor may include a color filter array (such as a Bayer filter). The image sensor can obtain the light intensity and wavelength information captured by each imaging pixel of the image sensor, and provide a set of raw image data that can be processed by the image signal processor.
  • the image signal processor can process the original image data pixel by pixel in a variety of formats. For example, each image pixel may have a bit depth of 8, 10, 12, or 14 bits, and the image signal processor may perform one or more image processing operations on the original image data and collect statistical information about the image data. Among them, the image processing operations can be performed with the same or different bit depth accuracy.
  • the original image data can be stored in the image memory after being processed by the image signal processor.
  • the image signal processor can also receive image data from the image memory.
  • the image memory may be a part of a memory device, a storage device, or an independent dedicated memory in an electronic device, and may include DMA (Direct Memory Access) features.
  • DMA Direct Memory Access
  • the image signal processor can perform one or more image processing operations, such as temporal filtering.
  • the processed image data can be sent to the image memory for additional processing before being displayed.
  • the image signal processor may also receive processed data from the image memory, and perform image data processing in the original domain and in the RGB and YCbCr color spaces on the processed data.
  • the processed image data can be output to a display for viewing by the user and/or further processed by a graphics engine or GPU (Graphics Processing Unit, graphics processor).
  • the output of the image signal processor can also be sent to the image memory, and the display can read image data from the image memory.
  • the image memory may be configured to implement one or more frame buffers.
  • the statistical data determined by the image signal processor can be sent to the control logic.
  • the statistical data may include the statistical information of the image sensor such as automatic exposure, automatic white balance, automatic focus, flicker detection, black level compensation, and lens shading correction.
  • the control logic may include a processor and/or microcontroller that executes one or more routines (such as firmware).
  • routines can determine the control parameters of the camera and the ISP control parameters based on the received statistical data.
  • the control parameters of the camera may include camera flash control parameters, lens control parameters (for example, focal length for focusing or zooming), or a combination of these parameters.
  • ISP control parameters may include gain levels and color correction matrices for automatic white balance and color adjustment (for example, during RGB processing).
  • FIG. 8 is a schematic diagram of the structure of the image processing circuit in this embodiment. As shown in FIG. 8, for ease of description, only various aspects of the image processing technology related to the embodiment of the present invention are shown.
  • the image processing circuit may include: a camera, an image signal processor, a control logic, an image memory, and a display.
  • the camera may include one or more lenses and image sensors.
  • the camera may be any one of a telephoto camera or a wide-angle camera.
  • the first image collected by the camera is transmitted to the image signal processor for processing.
  • the image signal processor may send statistical data of the first image (such as the brightness of the image, the contrast value of the image, the color of the image, etc.) to the control logic.
  • the control logic can determine the control parameters of the camera according to the statistical data, so that the camera can perform operations such as autofocus and automatic exposure according to the control parameters.
  • the first image can be stored in the image memory after being processed by the image signal processor.
  • the image signal processor can also read the image stored in the image memory for processing.
  • the first image can be directly sent to the display for display after being processed by the image signal processor.
  • the display can also read the image in the image memory for display.
  • the electronic device may also include a CPU and a power supply module.
  • the CPU is connected to the logic controller, image signal processor, image memory, and display, and the CPU is used to implement global control.
  • the power supply module is used to supply power to each module.
  • the application program stored in the memory 502 contains executable code.
  • Application programs can be composed of various functional modules.
  • the processor 503 executes various functional applications and data processing by running application programs stored in the memory 502.
  • the processor 503 is the control center of the electronic device. It uses various interfaces and lines to connect the various parts of the entire electronic device, and executes the electronic device by running or executing the application program stored in the memory 502 and calling the data stored in the memory 502.
  • the various functions and processing data of the electronic equipment can be used to monitor the electronic equipment as a whole.
  • the touch display screen 504 may be used to receive a user's touch control operation on the electronic device.
  • the speaker 505 can play sound signals.
  • the sensor 506 may include a gyroscope sensor, an acceleration sensor, a direction sensor, a magnetic field sensor, etc., which may be used to obtain the current posture of the electronic device 500.
  • the processor 503 in the electronic device will load the executable code corresponding to the process of one or more application programs into the memory 502 according to the following instructions, and the processor 503 will run and store the executable code in the memory.
  • the state information is a human body bounding box.
  • the processor 503 executes the acquisition of the state information of the human body in the shooting scene, it may execute: Obtain a preview image of the shooting scene; The preview image is subjected to portrait detection to obtain the human body bounding box; when the processor 503 executes the determination of the target posture from the horizontal screen posture and the vertical screen posture according to the state information, it may execute: determine the width of the human body bounding box and Height; calculate the ratio of the width to the height; according to the ratio, determine the target posture from the horizontal screen posture and the vertical screen posture.
  • the processor 503 when the processor 503 executes the determination of the target posture from the horizontal screen posture and the vertical screen posture according to the ratio, it may execute: when the ratio is greater than a preset ratio, change the horizontal screen posture to Determined as the target posture.
  • the processor 503 when the processor 503 executes the determination of the target posture from the horizontal screen posture and the vertical screen posture according to the ratio, it may execute: determine the percentage of the area of the human body bounding box in the preview image ; According to the ratio and the area percentage, the target posture is determined from the horizontal screen posture and the vertical screen posture.
  • the processor 503 when the processor 503 executes the determination of the target posture from the horizontal screen posture and the vertical screen posture according to the ratio and the area percentage, it may execute: when the ratio is not greater than a preset ratio , And when the area percentage is greater than the preset percentage, the vertical screen posture is determined as the target posture.
  • the processor 503 when the processor 503 executes the determination of the target posture from the horizontal screen posture and the vertical screen posture according to the ratio and the area percentage, it may perform: Cut out the human body image from the preview image; use the key point detection model to perform key point detection on the human body image to obtain the human body key point set of the human body; when the ratio is not greater than the preset ratio and the area percentage is not greater than When the preset percentage is set and the preset key points are not included in the set of human body key points, the horizontal screen posture is determined as the target posture.
  • the state information is a human body posture
  • the processor 503 executes the state information to determine the target posture from the horizontal screen posture and the vertical screen posture, it can execute: obtain posture and posture A preset mapping relationship; according to the human posture and the preset mapping relationship, the target posture is determined from the horizontal screen posture and the vertical screen posture.
  • the prompting device provided in this embodiment of the application belongs to the same concept as the prompting method in the above embodiment, and any method provided in the prompting method embodiment can be run on the prompting device. For the specific implementation process, see The embodiment of the prompt method will not be repeated here.
  • the computer program may be stored in a computer readable storage medium, such as stored in a memory, and executed by at least one processor, and the execution process may include the process of the embodiment of the prompt method.
  • the storage medium may be a magnetic disk, an optical disc, a read only memory (ROM, Read Only Memory), a random access memory (RAM, Random Access Memory), etc.
  • the prompting device of the embodiment of the present application its functional modules may be integrated into one processing chip, or each module may exist alone physically, or two or more modules may be integrated into one module.
  • the above-mentioned integrated modules can be implemented in the form of hardware or software functional modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium, such as a read-only memory, a magnetic disk or an optical disk, etc. .

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Abstract

L'invention concerne un procédé et un dispositif de suggestion, un support de stockage et un dispositif électronique. Le procédé consiste à : acquérir des informations d'état d'une figure humaine dans une scène photographique ; déterminer, en fonction des informations d'état, une pose cible parmi une pose paysage et une pose portrait ; et si une pose actuelle d'un appareil électronique est différente de la pose cible, générer et délivrer en sortie des informations suggérant un ajustement de la pose de l'appareil électronique.
PCT/CN2020/142345 2020-01-22 2020-12-31 Procédé et dispositif de suggestion, support de stockage et appareil électronique WO2021147648A1 (fr)

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Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111277752B (zh) * 2020-01-22 2021-08-31 Oppo广东移动通信有限公司 提示方法、装置、存储介质及电子设备

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009088710A (ja) * 2007-09-27 2009-04-23 Fujifilm Corp 撮影装置、撮影方法及び撮影プログラム
CN101854482A (zh) * 2009-03-11 2010-10-06 索尼公司 图像拾取装置、图像拾取装置的控制方法及其程序
CN101964872A (zh) * 2009-07-23 2011-02-02 索尼公司 构图确定器件、成像系统、构图确定方法以及程序
CN109660719A (zh) * 2018-12-11 2019-04-19 维沃移动通信有限公司 一种信息提示方法及移动终端
CN111277752A (zh) * 2020-01-22 2020-06-12 Oppo广东移动通信有限公司 提示方法、装置、存储介质及电子设备

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007336515A (ja) * 2006-05-15 2007-12-27 Olympus Imaging Corp カメラ、画像出力装置、画像出力方法、画像記録方法、プログラム及び記録媒体
TW201337641A (zh) * 2012-03-15 2013-09-16 Fih Hong Kong Ltd 自拍提示系統及方法
CN102722715A (zh) * 2012-05-21 2012-10-10 华南理工大学 一种基于人体姿势状态判决的跌倒检测方法
CN103945043A (zh) * 2013-01-21 2014-07-23 联想(北京)有限公司 一种拍照方法及电子设备
CN104104867B (zh) * 2014-04-28 2017-12-29 三星电子（中国）研发中心 控制摄像装置进行拍摄的方法和装置
JP2016036085A (ja) * 2014-08-04 2016-03-17 株式会社ニコン 撮像装置および電子機器
CN105282441B (zh) * 2015-09-29 2020-10-27 北京小米移动软件有限公司 拍照方法及装置
CN106973228B (zh) * 2017-03-31 2020-02-21 联想(北京)有限公司 一种拍摄方法及电子设备
KR102438201B1 (ko) * 2017-12-01 2022-08-30 삼성전자주식회사 사진 촬영과 관련된 추천 정보를 제공하는 방법 및 시스템
CN108366207B (zh) * 2018-03-20 2020-06-23 Oppo广东移动通信有限公司 控制拍摄的方法、装置、电子设备及计算机可读存储介质
CN109194879B (zh) * 2018-11-19 2021-09-07 Oppo广东移动通信有限公司 拍照方法、装置、存储介质及移动终端

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009088710A (ja) * 2007-09-27 2009-04-23 Fujifilm Corp 撮影装置、撮影方法及び撮影プログラム
CN101854482A (zh) * 2009-03-11 2010-10-06 索尼公司 图像拾取装置、图像拾取装置的控制方法及其程序
CN101964872A (zh) * 2009-07-23 2011-02-02 索尼公司 构图确定器件、成像系统、构图确定方法以及程序
CN109660719A (zh) * 2018-12-11 2019-04-19 维沃移动通信有限公司 一种信息提示方法及移动终端
CN111277752A (zh) * 2020-01-22 2020-06-12 Oppo广东移动通信有限公司 提示方法、装置、存储介质及电子设备

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