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Computer Methods in Biomechanics and Biomedical Engineering Volume 17, 2014 - Issue sup1
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Abstract

Optimisation technique of camera placement for motion capture simulations

A. AissaouiLESIA Laboratory, University of Biskra, Biskra, AlgeriaCorrespondence[email protected]
,
Z. BaarirLESIA Laboratory, University of Biskra, Biskra, Algeria
,
A. OuafiLESIA Laboratory, University of Biskra, Biskra, Algeria
,
P. PudloUVHC, LAMIH, F-59313, Valenciennes, France;CNRS, UMR 8201, F-59313, Valenciennes, France;Université Lille Nord de France, F-59000, Lille, France
,
A. Taleb-AhmedUVHC, LAMIH, F-59313, Valenciennes, France;CNRS, UMR 8201, F-59313, Valenciennes, France;Université Lille Nord de France, F-59000, Lille, France
,
C. GilletUVHC, LAMIH, F-59313, Valenciennes, France;CNRS, UMR 8201, F-59313, Valenciennes, France;Université Lille Nord de France, F-59000, Lille, France
&
F. DerazUVHC, LAMIH, F-59313, Valenciennes, France;CNRS, UMR 8201, F-59313, Valenciennes, France;Université Lille Nord de France, F-59000, Lille, France
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Pages 122-123 | Published online: 30 Jul 2014

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Read on this site (1)

A. Aissaoui, P. Pudlo, I. Aloui, A. Ouafi & A. Taleb-Ahmed. (2017) Reducing the number of cameras and increasing the calibrated volume for motion capture. Computer Methods in Biomechanics and Biomedical Engineering 20:sup1, pages S5-S6.
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Articles from other publishers (1)

Azeddine Aissaoui, Abdelkrim Ouafi, Philippe Pudlo, Christophe Gillet, Zine-Eddine Baarir & Abdelmalik Taleb-Ahmed. (2017) Designing a camera placement assistance system for human motion capture based on a guided genetic algorithm. Virtual Reality 22:1, pages 13-23.
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