Optical motion capture data processing method based on space-time search data processing

Abstract

The invention discloses an optical motion capture data processing method based on space-time search data processing. Based on space-time information of optical human motion capture scattered data, space-time search data processing algorithm is provided. Because the optical motion data acquisition frequency is high, a front frame and a back frame of motion data form a smooth linear relation on a time shaft, and the data of each frame follow a definite topological relation on a space position due to the restraint of a human skeleton relation. The space-time search data processing algorithm reasonably utilizes the linear relation on the motion data time shaft and the topological relation on the space position as restraint conditions, effectively predicts and tracks the three-dimensional motion data, and removes noise in the noise data; and a point supplementing algorithm based on the rigid body is provided for the missing motion data so as to perform reasonable supplement. The method has the advantages that the manual intervention is not needed during processing, the real-time requirement can be met, and the matching efficiency is improved.

Description

technical field [0001] The invention relates to the processing of scattered data in optical human body motion capture, especially the technology and method for the mismatch and error accumulation problems caused by the shape matching processing of the motion data or the data tracking processing on the time axis alone. Background technique [0002] With the rapid development of the virtual industry, motion capture has become increasingly mature and has become a widely used method that can truly reproduce the details of human motion. The method has broad application prospects in film production, virtual reality, sports medicine, robot control, game production, etc. Human body motion capture can be divided into: electromagnetic motion capture, electromechanical motion capture and optical motion capture. Optical motion capture is a more accurate one. A special reflective material is applied to the joints of the human body as a marker point, and multiple cameras are used to shoo...

AI Technical Summary

Problems solved by technology

[0003] The data captured by optical motion has the following three characteristics: 1. The information collected is only the three-dimensional coordinate information of the Marker point, and the data exists in a scattered and disorderly form; 2. Because the marker points are blocked by props, limbs, torso or other marker points , there are missing point data; 3 Noise points will appear due to camera delay

Therefore, the follow-up processing of the data is computationally complex. How to eliminate noise points to make up for missing points, to calibrate the motion data in an orderly manner and to meet the real-time requirements is the core content of optical motion scattered data processing.

[0004] The present invention proposes a data processing based on space-time search and a supplementary point method based on rigid body, which effectively solves the problem of mismatch and error accumulation caused by the shape matching processing of motion data alone or the data tracking processing on the time axis alone

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