Motion capture system, data noise reduction method and system of motion capture

Abstract

The invention discloses a data noise reduction method of motion capture. The method comprises the following steps: collecting two frames or more motion graphic data of a plurality of mark points and tracing movement tracks formed by the mark points in each frame according to collected motion graphic data; fitting the movement tracks of the mark points by using low-order B-spline Curves respectively so as to generate a plurality of approximation curves which are one-to-one corresponding to the movement tracks of the mark points. The approximation curves are the movement tracks of noise reduced movement tracks of the mark points. Through using the data noise reduction method of motion capture provided by an embodiment of the invention, detail data information of movement tracks of the mark points is maintained when capturing face expression movements. Therefore, the system has the characteristic of good real-time property.

Description

technical field [0001] The invention belongs to the technical field of motion capture, and in particular relates to a data noise reduction method and system for motion capture and a motion capture system. Background technique [0002] In recent years, with the rapid development of the computer graphics (Computer Graphics, CG) industry, motion capture has become increasingly mature, and has become a widely used technology that can truly reproduce the movement details of moving objects. Motion capture is a technology used to accurately measure the movement of moving objects in three-dimensional space. Based on the principle of computer graphics, several video capture devices arranged in space collect moving images of moving objects, and then the moving images The image data is processed to restore the spatial motion of moving objects. As a branch of motion capture applied to the human body, facial expression motion capture is a technology that applies motion capture to facial...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a data noise reduction method for motion capture to solve the problem that the data noise reduction method for motion capture in the field of motion capture provided by the prior art mainly removes the high-amplitude data existing in the captured rigid body motion data. Value noise has no effect on low-amplitude noise, and the real-time performance of high-order B-spline curve noise reduction is poor, and it is easy to lose the details of image data

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