Synthetic motion capture for interactive virtual worlds

被引:5
|
作者
Yu, QX [1 ]
Terzopoulos, D [1 ]
机构
[1] Univ Toronto, Dept Comp Sci, Toronto, ON M5S 1A4, Canada
关键词
D O I
10.1109/CA.1998.681900
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The numerical simulation of biomechanical models enables the behavioral animation of realistic artificial animals in virtual worlds. Unfortunately, even on high-end graphics workstations, the biomechanical simulation approach is at present computationally too demanding for the animation of numerous animals at interactive frame rates. We tackle this problem by replacing biomechanical animal models with fast kinematic replicas that reproduce the locomotion abilities of the original models with reasonable fidelity. Our technique is based on capturing motion data by systematically, simulating the biomechanical models. We refer to it as synthetic motion capture, because of the similarity to natural motion capture applied to real animals. We compile the captured motion data into kinematic action repertoires that are sufficiently rich to support elaborate behavioral animation. Synthetic motion capture in conjunction with level-of-detail geometric modeling and object culling during rendering has enabled us to transform a system designed for the realistic, off-line biomechanical/behavioral animation of artificial fishes, into an interactive, stereoscopic, virtual undersea experience.
引用
收藏
页码:2 / 10
页数:9
相关论文
共 50 条
  • [41] Interactive Entertainment, Virtual Motion Training and Brain Ergonomy
    Invitto, Sara
    Faggiano, Chiara
    Sammarco, Silvia
    De Luca, Valerio
    De Paolis, Lucio T.
    PROCEEDINGS OF THE 2015 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES FOR INTERACTIVE ENTERTAINMENT, 2015, : 88 - 94
  • [42] INTERACTIVE MOTION PLATFORMS AND VIRTUAL REALITY FOR VEHICLE SIMULATORS
    Thondel, Evzen
    DRIVER-CAR INTERACTION & SAFETY CONFERENCE 2016, 2017, 12 : 108 - 111
  • [43] Ballroom Dance Training with Motion Capture and Virtual Reality
    Maier, Sophia
    Oberdoerfer, Sebastian
    Latoschik, Marc Erich
    PROCEEDINGS OF THE 2024 CONFERENCE ON MENSCH UND COMPUTER, MUC 2024, 2024, : 617 - 621
  • [44] The motion capture data glove device for virtual surgery
    Cao, Qiuhao
    Gao, Cheng
    Wang, Yiming
    Li, Ting
    7TH IEEE INTERNATIONAL NANOELECTRONICS CONFERENCE (INEC) 2016, 2016,
  • [45] An Middleware for Motion Capture Devices applied to Virtual Rehab
    Damasceno, Eduardo Filgueiras
    Cardosoa, Alexandre
    Lamounier, Edgard Afonso, Jr.
    2013 IEEE VIRTUAL REALITY CONFERENCE (VR), 2013, : 171 - 172
  • [46] Haptic Motion: Improving Sensation of Self-Motion in Virtual Worlds with Force Feedback
    Ouarti, Nizar
    Lecuyer, Anatole
    Berthoz, Alain
    2014 IEEE HAPTICS SYMPOSIUM (HAPTICS), 2014, : 167 - 174
  • [47] Research on Virtual Reality Arm Motion Capture and Recognition
    Cai, Shubin
    Deng, Dihui
    Li, Jianqiang
    Wen, Jinchun
    Chen, Chaoqin
    Ming, Zhong
    2019 IEEE 4TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2019), 2019, : 738 - 743
  • [48] Motion-capture based virtual actor system
    Korean Broadcasting System, Korea, Republic of
    ABU Tech Rev, 181 (8-13):
  • [49] Virtual assembly planning with motion capture systems systemen
    Jonek, Michael
    Manns, Martin
    Tuli, Tadele
    WT Werkstattstechnik, 2021, 111 (04): : 256 - 259
  • [50] Consumer-Level Virtual Reality Motion Capture
    Miranda, Catarina Runa
    Orvalho, Veronica Costa
    COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VISIGRAPP 2016, 2017, 693 : 374 - 394