• 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