Abstract: This application relates to an electronic device and a shooting method thereof, and a medium. The method includes: A first application generates a shooting instruction. The shooting instruction includes a first shooting control instruction. A camera control module obtains the first shooting control instruction from the first application through a preset transmission channel. The preset transmission channel is used to connect the camera control module to the first application. The camera control module invokes a shooting algorithm corresponding to the first shooting control instruction and controls a camera of the electronic device to complete shooting. According to the method provided in this application, the camera control module can invoke the shooting algorithm based on the first shooting control instruction in a timely manner, to complete shooting. This reduces response time between the camera application and the camera of the electronic device, and improves photographing experience of a user.

Abstract: Embodiments of this application disclose a focusing method and an electronic device, including: In response to a first operation, an electronic device starts photographing, and displays a first interface. The electronic device displays a Kth frame of preview image in the first interface at a first moment. The Kth frame of preview image is collected by the camera by using a face of a first target as a first focusing frame, and the face of the first target meets a preset facial recognition condition in the Kth frame of preview image. The electronic device displays an Mth frame of preview image in the first interface at a second moment. The Mth frame of preview image is obtained by the camera by focusing on the first focusing frame, the face of the first target does not meet the preset facial recognition condition in the Mth frame of preview image.

Abstract: An algorithm calling method and an algorithm calling apparatus are provided. The algorithm calling method includes: The control module sends a first instruction to the fusion module, where the first instruction is used to indicate a to-be-called target algorithm in an auto focus algorithm, an auto exposure algorithm, and an auto white balance algorithm; the fusion module determines a fusion policy according to the first instruction, where the fusion policy is used to call an algorithm in the first algorithm library and/or the second algorithm library; and the fusion module sends a second instruction to the first algorithm library and/or the second algorithm library according to the fusion policy, where the second instruction is used to call the target algorithm. Based on the technical method in this application, decoupling between a control module and an algorithm can be implemented, and maintenance efficiency of an electronic device can be improved.

Abstract: This application relates to an electronic device and a shooting method thereof, and a medium. The method includes: A first application generates a shooting instruction. The shooting instruction includes a first shooting control instruction. A camera control module obtains the first shooting control instruction from the first application through a preset transmission channel. The preset transmission channel is used to connect the camera control module to the first application. The camera control module invokes a shooting algorithm corresponding to the first shooting control instruction and controls a camera of the electronic device to complete shooting. According to the method provided in this application, the camera control module can invoke the shooting algorithm based on the first shooting control instruction in a timely manner, to complete shooting. This reduces response time between the camera application and the camera of the electronic device, and improves photographing experience of a user.

Abstract: An algorithm calling method and an algorithm calling apparatus are provided. The algorithm calling method includes: The control module sends a first instruction to the fusion module, where the first instruction is used to indicate a to-be-called target algorithm in an auto focus algorithm, an auto exposure algorithm, and an auto white balance algorithm; the fusion module determines a fusion policy according to the first instruction, where the fusion policy is used to call an algorithm in the first algorithm library and/or the second algorithm library; and the fusion module sends a second instruction to the first algorithm library and/or the second algorithm library according to the fusion policy, where the second instruction is used to call the target algorithm. Based on the technical method in this application, decoupling between a control module and an algorithm can be implemented, and maintenance efficiency of an electronic device can be improved.

Abstract: Embodiments of this application disclose a focusing method and an electronic device, including: In response to a first operation, an electronic device starts photographing, and displays a first interface. The electronic device displays a Kth frame of preview image in the first interface at a first moment. The Kth frame of preview image is collected by the camera by using a face of a first target as a first focusing frame, and the face of the first target meets a preset facial recognition condition in the Kth frame of preview image. The electronic device displays an Mth frame of preview image in the first interface at a second moment. The Mth frame of preview image is obtained by the camera by focusing on the first focusing frame, the face of the first target does not meet the preset facial recognition condition in the Mth frame of preview image.

Abstract: In a method for facial feature point tracking, facial feature points of a face in a previous image of a to-be-tracked image are acquired in an image sequence. Facial feature point errors between the to-be-tracked image and the previous image are determined based on a preset error model and pixels in the to-be-tracked image. The facial feature point errors indicate differences between first coordinates of facial feature points in the to-be-tracked image, and second coordinates of facial feature points at corresponding positions in the previous image. The preset error model is trained based on facial feature points in a plurality of pairs of adjacent reference images. Further, the facial feature points of the face in the to-be-tracked image are determined based on the facial feature points of the face in the previous image and the facial feature point errors between the to-be-tracked image and the previous image.

Abstract: In a method for facial feature point tracking, facial feature points of a face in a previous image of a to-be-tracked image are acquired in an image sequence. Facial feature point errors between the to-be-tracked image and the previous image are determined based on a preset error model and pixels in the to-be-tracked image. The facial feature point errors indicate differences between first coordinates of facial feature points in the to-be-tracked image, and second coordinates of facial feature points at corresponding positions in the previous image. The preset error model is trained based on facial feature points in a plurality of pairs of adjacent reference images. Further, the facial feature points of the face in the to-be-tracked image are determined based on the facial feature points of the face in the previous image and the facial feature point errors between the to-be-tracked image and the previous image.