Review of techniques for motion capture data processing

被引:5
|
作者
Wei Xiaopeng 1)
机构
基金
中国国家自然科学基金;
关键词
3D motion capture; motion sequence segmentation; key-frame extraction; motion retrieval;
D O I
10.19583/j.1003-4951.2012.01.001
中图分类号
TP274 [数据处理、数据处理系统];
学科分类号
0804 ; 080401 ; 080402 ; 081002 ; 0835 ;
摘要
In order to high reality and efficiency,the technique of motion capture (MoCap) has been widely used in the field of computer animation.With the development of motion capture,a large amount of motion capture databases are available and this is significant for the reuse of motion data.But due to the high degree of freedoms and high capture frequency,the dimension of the motion capture data is usually very high and this will lead to a low efficiency in data processing.So how to process the high dimension data and design an efficient and effective retrieval approach has become a challenge which we can’t ignore.In this paper,first we lay out some problems about the key techniques in motion capture data processing.Then the existing approaches are analyzed and summarized.At last,some future work is proposed.
引用
收藏
页码:1 / 11
页数:11
相关论文
共 50 条
  • [1] Keyframe reduction techniques for motion capture data
    Oender, Onur
    Gueduekbay, Ugur
    Oezguec, Buelent
    Erdem, Tanju
    Erdem, Cigdem
    Oezkan, Mehmet
    [J]. 2008 3DTV-CONFERENCE: THE TRUE VISION - CAPTURE, TRANSMISSION AND DISPLAY OF 3D VIDEO, 2008, : 293 - 296
  • [2] Techniques and Approaches in Static Visualization of Motion Capture Data
    Li, William
    Bartram, Lyn
    Pasquier, Philippe
    [J]. MOCO'16: PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON MOVEMENT AND COMPUTING, 2016,
  • [3] An effective method of capture data processing for optical motion
    Wu, Sheng
    Zhang, Qiang
    Xiao, Boxiang
    Wei, Xiaopeng
    [J]. Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 2009, 17 (05): : 790 - 798
  • [4] Processing motion capture data to achieve positional accuracy
    Choi, KJ
    Park, SH
    Ko, HS
    [J]. GRAPHICAL MODELS AND IMAGE PROCESSING, 1999, 61 (05): : 260 - 273
  • [5] Similarity-Based Processing of Motion Capture Data
    Sedmidubsky, Jan
    Zezula, Pavel
    [J]. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18), 2018, : 2087 - 2089
  • [6] Reuse of motion capture data in animation: A review
    Geng, WD
    Yu, G
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2003, PT 3, PROCEEDINGS, 2003, 2669 : 620 - 629
  • [7] Motion capture sensing techniques used in human upper limb motion: a review
    Yahya, Muhammad
    Shah, Jawad Ali
    Kadir, Kushsairy Abdul
    Yusof, Zulkhairi M.
    Khan, Sheroz
    Warsi, Arif
    [J]. SENSOR REVIEW, 2019, 39 (04) : 504 - 511
  • [8] A REVIEW OF OPTICAL DATA-PROCESSING TECHNIQUES
    VANDERLUGT, A
    [J]. OPTICA ACTA, 1968, 15 (01): : 1 - +
  • [9] Efficient Processing of Warping Time Series Join of Motion Capture Data
    Chen, Yueguo
    Chen, Gang
    Chen, Ke
    Ooi, Beng Chin
    [J]. ICDE: 2009 IEEE 25TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3, 2009, : 1048 - +
  • [10] Scattered data processing approach based on optical facial motion capture
    Zhang, Qiang
    Liang, Xiaoying
    Wei, Xiaopeng
    [J]. APPLIED BIONICS AND BIOMECHANICS, 2013, 10 (2-3) : 75 - 87