DocumentCode
248214
Title
Low-rank based compact representation of motion capture data
Author
Junhui Hou ; Lap-Pui Chau ; Ying He ; Magnenat-Thalmann, Nadia
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
1480
Lastpage
1484
Abstract
In this paper, we propose a practical, elegant and effective scheme for compact mocap data representation. Guided by our analysis of the unique properties of mocap data, the input mocap sequence is optimally segmented into a set of subsequences. Then, we project the subsequences onto a pair of computational orthogonal matrices to explore strong low-rank characteristic within and among the subsequences. The experimental results show that the proposed scheme is much more effective for reducing the data size, compared with the existing techniques.
Keywords
image representation; image sequences; matrix algebra; motion compensation; computational orthogonal matrices; data representation; low rank based compact representation; mocap data; mocap sequence; motion capture data; Approximation methods; Correlation; Indexes; Matrix decomposition; Motion segmentation; Principal component analysis; Trajectory; Motion capture; compression; low-rank;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025296
Filename
7025296
Link To Document