Structure estimation of an articulated object by motion image analysis based on factorization method

被引:0
|
作者
Nagasaki, Takeshi [1 ]
Kawashima, Toshio [2 ]
Aoki, Yoshinao [1 ]
机构
[1] BUG Inc., Sapporo, 004-0015, Japan
[2] Faculty of Engineering, Hokkaido University, Sapporo, 060-0015, Japan
关键词
Computer simulation - Degrees of freedom (mechanics) - Mathematical models - Matrix algebra - Motion control - Object recognition - Spurious signal noise;
D O I
10.1002/scj.1064
中图分类号
学科分类号
摘要
A method for obtaining the structure of a target object from a motion image sequence observed from the motions of an articulated object or a multiple number of objects is proposed. By this technique, the motion and structure of each rigid body part are estimated and the restricting relationships between rigid bodies are estimated in two stages when estimating the structure of an object with a large number of degrees of freedom such as an articulated object. In the first stage, the structure and motion of each rigid body are estimated based on observed information obtained by grouping observed feature points for each rigid body, by using a factorization method having robustness against observation noise. In the second stage, the restricting relationships between rigid bodies are estimated by using the motion parameters of each rigid body. In this paper, the presence and absence of joints and the order numbers of the restricting relationships between rigid bodies are classified in terms of the ranks of the coefficient matrices by considering rotating joints and expressing the restricting relationships as linear simultaneous equations. The proposed method is applied to simulations and observations of the motions of the hand and the back of the hand and its effectiveness is verified. © 2001 Scripta Technica, Syst. Comp. Jpn.
引用
收藏
页码:69 / 79
相关论文
共 50 条
  • [1] Structure and mechanism estimation of an articulated object by motion observation
    Nagasaki, T
    Kawashima, T
    Aoki, Y
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 1997, E80D (07) : 733 - 741
  • [2] Articulated structure from motion by factorization
    Tresadern, P
    Reid, I
    2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol 2, Proceedings, 2005, : 1110 - 1115
  • [3] Recovering articulated motion with a hierarchical factorization method
    Zhou, HN
    Huang, TS
    GESTURE-BASED COMMUNICATION IN HUMAN-COMPUTER INTERACTION, 2003, 2915 : 140 - 151
  • [4] Segmentation and factorization-based motion and structure estimation for long image sequences
    Debrunner, C
    Ahuja, N
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1998, 20 (02) : 206 - 211
  • [5] Factorization based structure from motion with object priors
    Gay, Paul
    Rubino, Cosimo
    Crocco, Marco
    Del Bue, Alessio
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2018, 172 : 124 - 137
  • [6] A factorization-based approach to articulated motion recovery
    Yan, JY
    Pollefeys, M
    2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol 2, Proceedings, 2005, : 1203 - 1203
  • [7] A factorization-based approach to articulated motion recovery
    Yan, JY
    Pollefeys, M
    2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2005, : 815 - 821
  • [8] An iterative factorization method for projective structure and motion from image sequences
    Heyden, A
    Berthilsson, R
    Sparr, G
    IMAGE AND VISION COMPUTING, 1999, 17 (13) : 981 - 991
  • [9] Image-based Space Object Reconstruction and Relative Motion Estimation using Incremental Structure from Motion
    Zhang, Qimin
    An, Pei
    Wang, Shuquan
    Bai, Xiaoli
    Zhang, Wei
    2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2018,
  • [10] Human Motion Analysis and Vision-Based Articulated Pose Estimation
    Gattupalli, Srujana
    2015 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2015), 2015, : 470 - 470