Optical motion capture data processing method based on module piecewise linear model

Abstract

The invention discloses an optical motion capture data processing method based on a module piecewise linear model. Based on overall information of optical human motion capture scattered data, a data processing algorithm based on the module piecewise linear model is provided. By using the module piecewise linear model to generalize the change characteristics of different modules, the method determines a matching priority and an intra-segment fitting function of module data, effectively performs overall layered prediction and tracking for each three-dimensional motion data module, performs de-noising processing for the noise data based on the module, and provides an interpolation fitting algorithm for the missing motion data based on segmenting Newton to perform reasonable supply. The optimized method does not need manual intervention during processing, and can meet real-time requirement.

Description

technical field

[0001] The invention relates to the processing of scattered data of optical human body motion capture, in particular to the processing method of optical motion capture data based on the modular subsection linear model. Background technique

[0002] With the rapid development of the CG industry, motion capture technology (Motion Capture) is becoming more and more mature, and has become a widely used technology that can truly reproduce the movement details of moving objects. This technology is being more and more used in film and television, animation, games, sports training, medical treatment, machinery manufacturing, and robot control. Human body motion capture can be divided into three types in principle: mechanical, acoustic, electromagnetic and optical. Optical motion capture is a more accurate one. Some special marker points (called "Markers") are pasted on the key points of the human body (generally selected joint points), and the visual system will rec...

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