Abstract: A method for updating a visual positioning parameter, an electronic device, and a computer-readable storage medium are provided. The method includes: obtaining a first pose mapping based on first pose information and second pose information of a terminal device at a first time, where the first pose information represents an estimated pose of the terminal device which is obtained based on a real-time tracking algorithm, and the second pose information represents an actual pose of the terminal device which is obtained based on a visual positioning service; obtaining a first target duration based on a synchronization interval parameter, and after the first target duration, obtaining a second pose mapping based on first pose information and second pose information of the terminal device at a second time; and updating the synchronization interval parameter based on the amount of deviation between the first pose mapping and the second pose mapping.

Abstract: Embodiments of the present disclosure provide a positioning method and apparatus, and an electronic device, and the positioning method includes: acquiring a fusion pose of a query frame from a terminal; acquiring, based on the fusion pose of the query frame, a plurality of candidate pictures from a cloud database, a spatial distance and an angle between each of the plurality of candidate pictures and the query frame meeting a preset condition; determining, from the plurality of candidate pictures, a top specified number of candidate pictures each having a minimum spatial distance from the query frame as a recall frame; and determining, based on a matching relationship between feature points of the recall frame and feature points of the query frame, a pose of the query frame to perform positioning according to the pose of the query frame.

Abstract: An image processing method and apparatus, and a device and a storage medium. The method includes: in response to a received service execution instruction, identifying a target object in a video stream which is captured in real time, and determining position information of the target object in the video stream; displaying a virtual model on the target object in the video stream according to the position information; playing a target audio on loop, and controlling, according to the target audio, the virtual model to display a corresponding animation expression.

Abstract: Embodiments of the present disclosure relate to a calibration verification method for a camera intrinsic parameter, an apparatus, a device, and a medium. The method includes: acquiring a plurality of reference images photographed by a target camera with a plurality of reference world coordinates under a preset photographing condition, wherein the camera intrinsic parameter of the target camera is calibrated; determining, a first coordinate change parameter corresponding to the plurality of reference world coordinates according to the preset photographing condition, and determining a second coordinate change parameter of the plurality of reference images according to a preset algorithm; determining whether the second coordinate change parameter is consistent with the first coordinate change parameter; and if the second coordinate change parameter is consistent with the first coordinate change parameter, feeding back a verification message indicating successful calibration of the camera intrinsic parameter.

Abstract: The application provides a method, a device, and a non-transitory computer-readable storage medium for simultaneous localization and mapping initialization. In the method, an operation of removing influence of rotation is performed to a predetermined number of continuous frame images that are obtained, and then initial key frames are screened, with a pre-built adaptive-sized sliding window, from the predetermined number of continuous frame images after the operation and the initial key frames are used for initialization.

Abstract: Embodiments of the present disclosure provide a plane estimation method and apparatus, an electronic device and a storage medium. The method includes: obtaining multiple video frames of a target video, extracting feature points from each of the multiple video frames, determining multiple same feature points in feature points of the multiple video frames, and determining position information of the multiple same feature points in the multiple video frames; determining a homography matrix of a plane between two adjacent video frames according to the position information of the multiple same feature points in the multiple video frames based on a random sample consensus algorithm; and determining parameter information of the plane between the two adjacent video frames according to the homography matrix of the plane.

Abstract: The present disclosure relates to a determination method, an determination apparatus of calibration information and electronic device, and particularly to the technical field of images. The determination method includes: acquiring 3D key point coordinates and a pose of a target device in a Virtual Reality (VR) world coordinate system determined by a VR device, wherein the target device is associated with the VR device; acquiring a target image collected by an image acquisition device, and acquiring 2D key point coordinates of the target device in a camera coordinate system based on the target image; and determining calibration information of the image acquisition device in the VR world coordinate system according to the 2D key point coordinates, the 3D key point coordinates, the pose of the target device and a pose of the image acquisition device, wherein the calibration information comprises position information and orientation information.

Abstract: Embodiments of the present disclosure relate to a calibration verification method for a camera intrinsic parameter, an apparatus, a device, and a medium. The method includes: acquiring a plurality of reference images photographed by a target camera with a plurality of reference world coordinates under a preset photographing condition, wherein the camera intrinsic parameter of the target camera is calibrated; determining, a first coordinate change parameter corresponding to the plurality of reference world coordinates according to the preset photographing condition, and determining a second coordinate change parameter of the plurality of reference images according to a preset algorithm; determining whether the second coordinate change parameter is consistent with the first coordinate change parameter; and if the second coordinate change parameter is consistent with the first coordinate change parameter, feeding back a verification message indicating successful calibration of the camera intrinsic parameter.

Abstract: Embodiments of the present disclosure provide a video processing method and device, and an electronic device. The method includes: acquiring a first video frame to be processed; segmenting the first video frame to acquire a patch corresponding to a target object and a patch region; acquiring position information of three-dimensional points within the patch region, and determining, according to the position information of the three-dimensional points within the patch region, three-dimensional position information of the patch; displaying, based on the three-dimensional position information of the patch, the patch at a position corresponding to at least one second video frame.

Abstract: The present disclosure provides an image processing method and apparatus, and an electronic device and a storage medium. The image processing method includes: inputting an initial depth map, a first confidence level of the initial depth map, an initial normal vector map and a second confidence level of the initial normal vector map into an optimizer; performing joint optimization on a depth map and a normal vector map, with an objective of minimizing a difference between an optimized depth map and the depth map before being optimized and a difference between an optimized normal vector map and the normal vector map before being optimized, and an objective of minimizing an error between local planes determined on the basis of a same region in the optimized depth map and the optimized normal vector map; and outputting the optimized depth map and the optimized normal vector map.

Abstract: The present disclosure relates to a target tracking method, apparatus, device and a medium. The target tracking method includes: acquiring a target video, where the target video includes a first image frame and a first subsequent image frame sequence after and adjacent to the first image frame; performing polygon detection on the first image frame to obtain each vertex of a target polygon; and tracking each vertex of the target polygon in the first subsequent image frame sequence according to a first vertex position of each vertex of the target polygon in the first image frame. According to embodiments of the present disclosure, real-time performance and accuracy of tracking the target polygon can be improved.

Abstract: The present disclosure relates to a target tracking method and apparatus, a device, and a medium. The method includes: acquiring a target video frame; determining, based on the target video frame, position information of a target area in the target video frame; in a case that a determination of the position information of the target area in the target video frame is failed, determining target photographing position information, and determining again, according to the target photographing position information and a camera projection algorithm, the position information of the target area in the target video frame.

Abstract: Embodiments of the present disclosure provide a display method and apparatus based on augmented reality, a device, and a storage medium, the method includes receiving a first video; acquiring a video material by segmenting a target object from the first video; acquiring and displaying a real scene image, where the real scene image is acquired by an image collection apparatus; and displaying the video material at a target position of the real scene image in an augmented manner and playing the video material. Since the video material is acquired by receiving the first video and segmenting the target object from the first video, the video material may be set according to the needs of the user.