Abstract: A capture-ball-based on-ball point distribution method, and a motion-posture recognition method, system, and apparatus are provided. The on-ball point distribution method is used for optical motion capture, and includes dividing a surface of a ball into a plurality of sub-regions, and distributing reflective marking points in the plurality of sub-regions such that a distribution of distance values between any two reflective marking points is concentrated. The reflective marking points are used for the optical motion capture of the ball. According to the on-ball point distribution method and the motion-posture recognition method, system, and apparatus, misrecognition caused by matching errors of the reflective marking points and increased coordinate errors of the spherical center can be effectively avoided. As such, the recognition degree of the capture ball in the system is improved.

Abstract: The present invention provides a capture-ball-based on-ball point distribution method, and a motion-posture recognition method, system, and apparatus. Because the on-ball point distribution method adopts a predetermined graphic combination to divide the surface of the ball, the surface of the ball demonstrates a uniform geometric distribution state, which is conducive to uniformly disposing reflective marking points to form a capture ball that can be used for optical capture, and helps the optical motion capture system recognize the motion-posture information of the capture ball according to the displacement changes of the reflective marking points.

Abstract: Rigid body configuration method, apparatus, terminal device, and computer storage medium are provided.

Abstract: A camera configuration method includes determining, in a preset view region, a preset number of camera configuration modes and visible cameras of each test point, according to a total number of cameras, calculating one or more cost values of each camera configuration mode, according to one or more factors that affect a capture effect, and calculating a configuration cost value of each camera configuration mode, according to the one or more cost values of each camera configuration mode, to determine a final camera configuration mode.

Abstract: A camera automatic calibration method includes determining a camera to be recalibrated; and determining a point-to-point matching relationship between a first projection point set and a first collection point set. The first projection point set is formed in a camera coordinate system when first spatial coordinates, formed by capturing a plurality of test points using cameras other than the camera to be recalibrated, are projected onto the camera to be recalibrated, and the first collection point set is formed by capturing the test points using the camera to be recalibrated. The method includes calculating a distance difference between each point in the first projection point set and a matching point in the first collection point set according to the point-to-point matching relationship; obtaining a new calibration parameter of the camera to be recalibrated; and updating the current calibration parameter of the camera to be recalibrated with the new calibration parameter.

Abstract: The present invention relates to the field of optical motion capture technology, and provides a rigid body configuration method, apparatus, terminal device, and computer storage medium.

Abstract: A camera configuration method includes determining, in a preset view region, a preset number of camera configuration modes and visible cameras of each test point, according to a total number of cameras, calculating one or more cost values of each camera configuration mode, according to one or more factors that affect a capture effect, and calculating a configuration cost value of each camera configuration mode, according to the one or more cost values of each camera configuration mode, to determine a final camera configuration mode.