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

A piecewise linear model and optical motion technology, applied in image data processing, 3D modeling, instruments, etc., can solve problems such as high computational complexity

Active Publication Date: 2014-11-26
DALIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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.

Method used

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

Examples

Experimental program
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Embodiment Construction

[0058] The method of the present invention will be further described below through specific embodiments.

[0059] In one embodiment, the human body motion optical capture data processing based on the modular piecewise linear model of the present invention is implemented on a computer with a CPU main frequency of 2.8GHz and a memory of 1G, and the computer uses Windows XP operating system. The example selects a group of gymnastics exercises for verification. The way of pasting the sports body markers is as follows: figure 2 As shown, the number of marker points is 32, and the sampling frequency is 60fps.

[0060] The specific implementation steps are:

[0061] Step 1: Collect raw data. The original data storage format is as follows:

[0062] FRAME1

[0063] MK1 -26.1368805 -37.1172719 47.6289079

[0064] MK2 -31.9841932 4.3155763 10.222054

[0065] MK3 -30.5799854 -29.5903648 161.4415529

[0066] MK4 -34.5172103 -18.1700251 145.7727965

[0067] MK5 -47.407498 -47.13152...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/00
Inventor 张强吴升魏小鹏
Owner DALIAN UNIV
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