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Title:      INCOMPLETE MOTION DATA RECONSTRUCTION FOR CHARACTER ANIMATION
Author(s):      Zhidong Xiao , Hammadi Nait-cherif , Jian J. Zhang
ISBN:      978-972-8924-84-3
Editors:      Yingcai Xiao, Tomaz Amon and Piet Kommers
Year:      2009
Edition:      Single
Keywords:      Motion synthesis, Motion analysis, Motion reconstruction
Type:      Full Paper
First Page:      89
Last Page:      98
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      This paper explores the technique that employs Principal Component Analysis (PCA) for motion synthesis and incomplete motion data reconstruction. A low dimensional space of human motion patterns are generated from a large amount motion capture data using PCA. The generated motion pattern is then applied to synthesize different scaled human character animations with a different speed by interpolation and extrapolation from existing motion patterns. According to animators' desire, we also construct incomplete motion data for a long and continuous motion sequences. This technique provides flexibility for animators to efficiently re-use existing motion capture data for character animation.
   

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