Local and global skeleton fitting techniques for optical motion capture
Silaghi, M. C.; Plankers, R.; Boulic, R.; Fua, P.; Thalmann, D.
1998

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Abstract

Identifying a precise anatomic skeleton is important in order to ensure high-quality motion capture. In this paper, we discuss two skeleton-fitting techniques based on 3D optical marker data. First, a local technique is proposed, based on relative marker trajectories. Then it is compared to a global optimization of a skeleton model. Various proposals are made to handle the skin deformation problem

Details

Title Local and global skeleton fitting techniques for optical motion capture
Author(s) Silaghi, M. C. ; Plankers, R. ; Boulic, R. ; Fua, P. ; Thalmann, D.
Published in Proceedings CAPTECH'98
Editor(s)
Series Lecture Notes in Artificial Intelligence, 1537
Pages 26-40
Conference Modelling and Motion Capture Techniques for Virtual Environments, Geneva, Switzerland, 26-27 November, 1998
Date 1998
Publisher Springer
Keywords
Note Comput. Graphics Lab., Fed. Inst. of Technol., Lausanne, Switzerland
DOI https://doi.org/10.1007/3-540-49384-0_3
Other identifier(s) View record in Web of Science
Laboratories CVLAB
VRLAB
IIG
LIA
Record Appears in Scientific production and competences > I&C - School of Computer and Communication Sciences > GR-SCI-IC - IC Scientists Group > IIG - Immersive Interaction Group
Scientific production and competences > I&C - School of Computer and Communication Sciences > IINFCOM > LIA - Artificial Intelligence Laboratory
Scientific production and competences > I&C - School of Computer and Communication Sciences > IINFCOM > CVLAB - Computer Vision Laboratory
Scientific production and competences > I&C - School of Computer and Communication Sciences > IINFCOM > VRLAB - Virtual Reality Laboratory
Scientific production and competences > Euler Center for Signal Processing
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date 2007-01-16

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