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High-dimensional space hypersphere covering method for human motion capture data retrieval

A technology of human motion and data retrieval, applied in the field of human motion capture, can solve the problems of low computing efficiency, limited promotion and application, etc., achieve good robustness, ensure retrieval efficiency, and avoid a large number of redundant calculations

Active Publication Date: 2011-09-14
DALIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that the computational efficiency is low
Limit the promotion and application of this method

Method used

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  • High-dimensional space hypersphere covering method for human motion capture data retrieval
  • High-dimensional space hypersphere covering method for human motion capture data retrieval
  • High-dimensional space hypersphere covering method for human motion capture data retrieval

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Embodiment Construction

[0022] A high-dimensional space hypersphere covering method for human motion capture data retrieval, including loading a human body motion capture data retrieval system developed based on C++ programming language and OpenGL graphics library into a computer and constructing and initializing a human body motion capture database Steps, the specific implementation of each step is as follows:

[0023] 1. A group of shared BVH format motion capture databases obtained online can be used as a platform to implement the method of the present invention. In the following descriptions of the present invention, this database is used as an example. The database includes hundreds of sports data in standard BVH format, which are stored in a specific directory in the form of files. The file names are marked according to different collectors and collection sequences. For example, 01_01.bvh means the first one of the 01st collector. Action, the sports data does not contain a text description of t...

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Abstract

The invention discloses a high-dimensional space hypersphere covering method for human motion capture data retrieval, which relates to the technical field of human motion capture, in particular to a method for expressing, extracting and retrieving characteristics in optical human motion capture data. The method introduces a distribution characteristic concept and a method of various motions of a human body in a high-dimensional space and comprises the following steps: extracting the main characteristics in human motion data; constructing characteristic vectors; by aiming at the characteristicvector of a retrieving condition (namely target motion to be retrieved), constructing a series of hypersphere covering area in the corresponding high-dimensional space; defining covering sequences and then evaluating the similarity of the covering sequences; and realizing the retrieval of the motion capture data. The method can effectively realize human motion capture data retrieval by a practical test and has favorable practicability and robustness.

Description

technical field [0001] The invention relates to the technical field of human motion capture, in particular to a feature representation, extraction and retrieval method in optical human motion capture data. Background technique [0002] In recent years, motion capture technology has been widely used in the field of computer animation. With the development of computer software and hardware technology, human body motion capture technology has gradually developed into an important means of data acquisition in the fields of virtual reality, computer vision, and film and television animation production. It is an emerging discipline in which multiple disciplines such as mathematics, computer graphics, image processing, and data processing interpenetrate and cross each other. The research on theories and methods related to motion capture technology has enriched the research content in the fields of computer animation and virtual reality, and has important theoretical value. Human bo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 魏小鹏肖伯祥张强
Owner DALIAN UNIV
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