Data processing method of 3D motion capture based on bone constraint

Abstract

In recent years, human 3D motion technology has been widely used in computer games, film production and animation industry. However, the data collected by professional motion capture equipment inevitably has noise and outliers. To solve this problem, this paper proposes a method of 3D motion capture data processing based on bone constraints. Firstly, the original data captured by the equipment is transformed into joint angle sequence by inverse kinematics method; secondly, the discrete joint angles are processed by Gaussian filtering; secondly, the human joint sequence is reconstructed by forward kinematics combined with the characteristics of human skeleton; finally, the experiment shows that the path of the joint point sequence processed by this method is significantly lower than that of the original data. The experimental results verify the feasibility and accuracy of the method.