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 :
بازگشت