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Source ACM International Conference Proceeding Series; Vol. 137 archive
Proceedings of Graphics Interface 2006 table of contents
Quebec, Canada
SESSION: Animation table of contents
Pages: 33 - 39  
Year of Publication: 2006
ISBN ~ ISSN:0713-5424 , 1-56881-308-2
Authors
Ari Shapiro  University of California, Los Angeles
Yong Cao  University of California, Los Angeles
Petros Faloutsos  University of California, Los Angeles
Sponsor
CHCCS : The Canadian Human-Computer Communications Society
Publisher
Canadian Information Processing Society  Toronto, Ont., Canada, Canada
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ABSTRACT

We propose a novel method for interactive editing of motion data based on motion decomposition. Our method employs Independent Component Analysis (ICA) to separate motion data into visually meaningful components called style components. The user then interactively identifies suitable style components and manipulates them based on a proposed set of operations. In particular, the user can transfer style components from one motion to another in order to create new motions that retain desirable aspects of the style and expressiveness of the original motion. For example, a clumsy walking motion can be decomposed so as to separate the clumsy nature of the motion from the underlying walking pattern. The clumsy style component can then be applied to a running motion, which will then yield a clumsy-looking running motion. Our approach is simple, efficient and intuitive since the components are themselves motion data. We demonstrate that the proposed method can serve as an effective tool for interactive motion analysis and editing.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Alessandro Bissacco, Payam Saisan, and Stefano Soatto. Modeling human gaits with subtleties. In Proceedings of 13th IFAC Symposium on System Identification, August 2003.
 
4
5
 
6
 
7
8
9
 
10
11
12
 
13
Jarmo Hurri, Hugo Gävert. Jaakko Särelä, and Aapo Hyvärinen. Fastica. Helsinki University of Technology, Laboratory of Computer Information Science, Neural Networks Research Centre, 1998.
 
14
A. Hyvärinen, J. Karhunen, and E. Oja. Independent Component Analysis. John Wiley & Sons, 2001.
15
16
17
18
19
20
 
21
Mathworks. Matlab software package.
 
22
Hiroshi Mori and Jun'ichi Hoshino. Independent component analysis of human motion. In Proceedings of International Conference on Acoustics Speech and Signal Processing, volume VI, pages 3564--3567, 2002.
23
 
24
 
25
P. Saisan and A. Bissacco. Image-based modeling of human gaits with higher-order statistics. In Proc. of the Intl. Workshop on Dynamic Scene Analysis, Kopenhagen, June 2002.
 
26
David Sankoff and Joseph B. Kruskal. Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison. CSLI Publications, 1983.
27
 
28
29
 
30
R. Urtasun, P. Glardon, R. Boulic, D. Thalmann, and P. Fua. Style-based Motion Synthesis. Computer Graphics Forum, 23(4):1--14, 2004.
 
31
M. A. O. Vasilescu and D. Terzopoulos. Multilinear analysis of image ensembles: Tensorfaces. In ICPR(2), pages 511--514, 2002.
 
32
Yang Wang, Xiaolei Huang, Chan-Su Lee, Song Zhang, Zhiguo Li. Dimitris Samaras, Dimitris Metaxas, Ahmed Elgammal, and Peisen Huang. High resolution acquisition, learning and transfer of dynamic 3-d facial expressions. Eurographics 2004, 23(3), August 2004.
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Collaborative Colleagues:
Ari Shapiro: colleagues
Yong Cao: colleagues
Petros Faloutsos: colleagues