Abstract: The present disclosure provides a method and apparatus for virtual walking, which relates to the field of games. In the present disclosure, geometric-shape attribute parameters of a physical area in which a user walks may be acquired. Then, a plurality of virtual areas each matching the geometric-shape attribute parameters may be obtained in a virtual scene. Further, when the user walks to a corner of a physical area, a target virtual area is selected from the plurality of virtual areas and a virtual person corresponding to the user may be transferred from a current virtual area to the target virtual area. The current virtual area may be a virtual area among the plurality of virtual areas corresponding to the user's current walking status. Therefore, the method and apparatus for virtual walking in the present disclosure enable infinite virtual spaces within the confines of limited physical spaces without visual deviation.
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: A camera configuration method solving the problem of lacking effective way to properly configure motion capture cameras in the conventional technologies, comprising: in a preset view region, determining a preset number of camera configuration modes according to camera parameters set by a user; setting a preset number of test points in the preset view region; calculating a number of visible cameras for each test point in each camera configuration mode; based on the number of visible cameras and a total number of cameras used for each camera configuration mode, calculating a configuration cost value for each camera configuration mode; and determining a final camera configuration mode based on the configuration cost value for each camera configuration mode. An effective way to properly configure the appropriate number of motion capture cameras is provided. The cost can be effectively saved while ensuring the effect of motion capture.