A method for arranging spheres for optical motion capture, catching balls, and a system

Abstract

A sphere point distribution method for optical motion capture and a system for catching the sphere. Since the surface of the sphere is divided by a predetermined combination of graphics, the surface of the sphere presents a uniform graphic distribution state, which is beneficial to the vertex or edge of each geometric image. A reflective marker point is set on the sphere at the center point to create a catch ball that can be used for optical snapping. Because the catching ball obtained by using the sphere point distribution method has the advantages of uniform point distribution and small distance difference between reflective marking points, it is beneficial for the system to quickly capture the reflective marks on the catching ball when using the optical capturing system to recognize the motion posture of the catching ball point, which is beneficial to the system to identify the movement posture information of the caught ball according to the displacement change of the reflective mark point. At the same time, for the catching ball obtained by adopting the sphere layout method provided by this application, the motion posture recognition of the catching ball can be performed only when there are few matching points on the catching sphere, which reduces the amount of calculation of the system and brings convenience to practical applications .

Description

technical field [0001] The invention relates to the technical field of optical motion capture, in particular to a method for arranging spheres for optical motion capture, a catching ball and a system. Background technique [0002] In the existing optical motion capture system, generally by capturing the movement track of reflective markers (markers, which refer to markers covered with special reflective materials on the surface, common shapes are spherical and hemispherical, etc., are often used to capture moving objects) In order to realize the motion posture recognition and trajectory tracking of the target object. Usually, a plurality of reflective marks configured on the capture object will form a rigid body that can be captured (the rigid body here refers to the shape and size of the rigid body during motion and after the force is applied, and the relative position of the internal points An unchanging object is an ideal model), and each reflective mark corresponds to a...

AI Technical Summary

Problems solved by technology

[0004] (1) When recognizing the catching ball in the form of a rigid body, since there are a lot of reflective stickers on the catching ball to configure a large number of reflective marks, in order to fully recognize the motion posture of the catching ball, in the later stage of posture recognition and trajectory tracking process , to traverse the three-dimensional coordinates of each reflective mark, the calculation is huge, which will greatly affect the real-time motion gesture recognition and trajectory tracking effect of the catching ball

[0005] (2) The structure of the catching ball has a difference in size. A ball with a relatively large diameter will cause unpredictable occlusion of the reflective sticker during motion, which will affect the capture process and bring poor motion gesture recognition effect.

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