Motion retrieval and synthesis based on posture features indexing

This paper presents a simple and effective approach to synthesize new motions from a given sequence of continuous motion capture data. First, an index function, based on posture features of each motion frame, is introduced to segment the given motion capture data into indexed motion clips. Then, bas...

Full description

Saved in:
Bibliographic Details
Published inProceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 pp. 266 - 271
Main Authors Shih-Pin Chao, Chih-Yi Chiu, Jui-Hsiang Chao, Yil-Cheng Ruan, Shi-Nine Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Algorithm design and analysis
Chaos
Computer science
Feature extraction
Indexing
Information retrieval
Joining processes
Multidimensional systems
Prototypes
User interfaces
Online AccessGet full text

Cover

More Information
Summary:This paper presents a simple and effective approach to synthesize new motions from a given sequence of continuous motion capture data. First, an index function, based on posture features of each motion frame, is introduced to segment the given motion capture data into indexed motion clips. Then, based on the fact that motion coherence implies index coherence, a new motion with start frame f/sub start/ and end frame f/sub end/ can be synthesized by finding a smooth path connecting f/sub start/ to f/sub end/ in the multidimensional index space. Moreover, an algorithm for finding multiple smooth paths is presented. The merit of proposed framework is that it can generate fast prototyping of desired motions with only a small amount of preprocessing time. Experimental results are given to show the effectiveness of the proposed framework.
ISBN:0769519571
9780769519579
DOI:10.1109/ICCIMA.2003.1238136