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MoCap for Artists: Workflow and Techniques for Motion CaptureApril 2008
Publisher:
  • Focal Press
ISBN:978-0-240-81000-3
Published:07 April 2008
Pages:
232
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Abstract

Make motion capture part of your graphics and effects arsenal. This introduction to motion capture principles and techniques delivers a working understanding of today's state-of-the-art systems and workflows without the arcane pseudocodes and equations. Learn about the alternative systems, how they have evolved, and how they are typically used, as well as tried-and-true workflows that you can put to work for optimal effect. Demo files and tutorials provided on the companion CD deliver first-hand experience with some of the core processes. * An accessible introduction to motion capture principles and techniques that does not require a computer science background* A survey of the state-of-the-art hardware and software tools, workflows and techniques.* A CD with sample motion capture data, clips, scripts, and Maya/Motion Builder turorials.

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  1. Acevedo P, Rekabdar B and Mousas C (2023). Optimizing retroreflective marker set for motion capturing props, Computers and Graphics, 115:C, (181-190), Online publication date: 1-Oct-2023.
  2. ACM
    Mo C, Hu K, Mei S, Chen Z and Wang Z Keyframe Extraction from Motion Capture Sequences with Graph based Deep Reinforcement Learning Proceedings of the 29th ACM International Conference on Multimedia, (5194-5202)
  3. Men Q and Leung H (2019). Retrieval of spatial---temporal motion topics from 3D skeleton data, The Visual Computer: International Journal of Computer Graphics, 35:6-8, (973-984), Online publication date: 1-Jun-2019.
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    Abidin M and Razak A Modelling of the Prophet Mosque in Virtual Reality Proceedings of the 2019 8th International Conference on Software and Computer Applications, (320-324)
  5. ACM
    Han S, Liu B, Wang R, Ye Y, Twigg C and Kin K (2018). Online optical marker-based hand tracking with deep labels, ACM Transactions on Graphics, 37:4, (1-10), Online publication date: 31-Aug-2018.
  6. ACM
    Su Q, Bai X, Fu H, Tai C and Wang J Live Sketch Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, (1-12)
  7. Aristidou A (2018). Hand tracking with physiological constraints, The Visual Computer: International Journal of Computer Graphics, 34:2, (213-228), Online publication date: 1-Feb-2018.
  8. ACM
    Alexanderson S, O'Sullivan C and Beskow J Robust online motion capture labeling of finger markers Proceedings of the 9th International Conference on Motion in Games, (7-13)
  9. ACM
    Schröder M, Maycock J and Botsch M Reduced marker layouts for optical motion capture of hands Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, (7-16)
  10. Wheatland N, Wang Y, Song H, Neff M, Zordan V and Jörg S (2015). State of the Art in Hand and Finger Modeling and Animation, Computer Graphics Forum, 34:2, (735-760), Online publication date: 1-May-2015.
  11. Keyvani A, Johansson H, Ericsson M, Lämkull D and Örtengren R Schema for motion capture data management Proceedings of the Third international conference on Digital human modeling, (99-108)
  12. de Quay Y Interactive music 3.0 Proceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India, (89-97)
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