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

A technology of searching data and optical motion, applied in image data processing, 3D modeling, instruments, etc., can solve the problems of high computational complexity, noise points, mismatch errors, etc., and achieve the effect of precise tracking and matching

Active Publication Date: 2009-09-16
DALIAN UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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 poi

Method used

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

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Embodiment Construction

[0066] The method of the present invention will be further described below through specific embodiments.

[0067] 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.

[0068] The specific implementation steps are:

[0069] Step 1: Collect raw data. The original data storage format is as follows:

[0070] FRAME1

[0071] MK1 -72.833487 -6.4336454 164.089618

[0072] MK2 -83.1846355 -34.9390373 140.8892545

[0073] MK3 -65.8305848 8.2243241 99.080741

[0074] MK4 -71.1568802 -41.3193921 88.5589882

[0075] MK5 -89.3190698 -34.4957468...

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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...

Claims

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Application Information

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IPC IPC(8): G06T17/00
Inventor 张强吴升魏小鹏
Owner DALIAN UNIVERSITY
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