Application of a Hybrid Algorithm for Non-humanoid Skeleton Model Estimation from Motion Capture Data

被引:0
|
作者
Janik, Lukasz [1 ]
Jedrasiak, Karol [2 ]
Wojciechowski, Konrad [1 ,3 ]
Polanski, Andrzej [1 ,3 ]
机构
[1] Silesian Tech Univ, Inst Comp Sci, Akad 16, PL-44100 Gliwice, Poland
[2] Silesian Tech Univ, Inst Automat Control, PL-44100 Gliwice, Poland
[3] Polish Japanese Inst Informat Technol, PL-41902 Bytom, Poland
来源
COMPUTER VISION AND GRAPHICS | 2012年 / 7594卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Currently, when Motion Capture being commonly used in gaming and movie industry there is a need of robust, easy and flexible solution to capture motion of non-humanoid characters in order to animate virtual characters in a game or movie. To fill this gap we developed an algorithm which estimates model of skeleton structure of both humanoid and non-humanoid characters. Quality and the possibility of real-life applications of the presented algorithm were experimentally evaluated. During the experiment we estimated the skeleton structure from the markers attached to a dog's skin. Quality of the resulting model is very promising.
引用
收藏
页码:95 / 104
页数:10
相关论文
共 50 条
  • [1] Making feasible walking motion of humanoid robots from human motion capture data
    Dasgupta, A
    Nakamura, Y
    ICRA '99: IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-4, PROCEEDINGS, 1999, : 1044 - 1049
  • [2] Fast Skeleton Estimation from Motion Capture Data using Generalized Delogne-Kasa method
    Knight, Jonathan Kipling
    Semwal, S. K.
    WSCG 2007, FULL PAPERS PROCEEDINGS I AND II, 2007, : 225 - 232
  • [3] Automatic Estimation of Skeletal Motion from Optical Motion Capture Data
    Xiao, Zhidong
    Nait-Charif, Hammadi
    Zhang, Jian J.
    MOTION IN GAMES, FIRST INTERNATIONAL WORKSHOP, MIG 2008, 2008, 5277 : 144 - 153
  • [4] Skeletal parameter estimation from optical motion capture data
    Kirk, AG
    O'Brien, JF
    Forsyth, DA
    2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol 2, Proceedings, 2005, : 1185 - 1185
  • [5] Skeletal parameter estimation from optical motion capture data
    Kirk, AG
    O'Brien, JF
    Forsyth, DA
    2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2005, : 782 - +
  • [6] Data-driven human model estimation for realtime motion capture
    Su, Le
    Liao, Lianjun
    Zhai, Wenpeng
    Xia, Shihong
    JOURNAL OF VISUAL LANGUAGES AND COMPUTING, 2018, 48 : 10 - 18
  • [7] WALKING PATTERN MAPPING FROM IMPERFECT MOTION CAPTURE DATA ONTO BIPED HUMANOID ROBOTS
    Kim, Jung-Yup
    Kim, Young-Seog
    INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS, 2010, 7 (01) : 127 - 156
  • [8] Application of Hidden Markov Model in Human Motion Recognition by Using Motion Capture Data
    BolaBola, Joelle Zita
    Wang, Yao
    Wu, Shuang
    Qin, Hua
    Niu, Jianwei
    ADVANCES IN PHYSICAL ERGONOMICS AND HUMAN FACTORS, 2016, 489 : 21 - 28
  • [9] Key Frames Extraction from Human Motion Capture Data Based on Hybrid Particle Swarm Optimization Algorithm
    Chang, Xiaojing
    Yi, Pengfei
    Zhang, Qiang
    RECENT DEVELOPMENTS IN INTELLIGENT INFORMATION AND DATABASE SYSTEMS, 2016, 642 : 335 - 342
  • [10] Estimation of Joint Types and Joint Limits from Motion Capture Data
    Engell-Norregard, Morten
    Erleben, Kenny
    WSCG 2009, FULL PAPERS PROCEEDINGS, 2009, : 9 - +