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3D Physiological Human Workshop


 
Time and place:
Zermatt, Switzerland
November 29-December 2, 2009
Editors:
Magnenat-Thalmann, Nadia
Description:
No description available... Please help other visitors by providing one!
Publisher:
Springer
EDIT

References from this conference (2009)

The following articles are from "3D Physiological Human Workshop":

 what's this?

Articles

p. 125-136

Piazza, Tommaso, Lundstm, Johan, Kunz, Andreas M. and Fjeld, Morten (2009): Predicting Missing Markers in Real-time Optical Motion Capture. In: Magnenat-Thalmann, Nadia (ed.) 3D Physiological Human Workshop November 29-December 2, 2009, Zermatt, Switzerland. pp. 125-136. Available online

A common problem in optical motion capture of human-body movement is the so-called missing marker problem. The occlusion of markers can lead to significant problems in tracking accuracy unless a continuous flow of data is guaranteed by interpolation or extrapolation algorithms. Since interpolation algorithms require data sampled before and after an occlusion, they cannot be used for real-time applications. Extrapolation algorithms only require data sampled before an occlusion. Other algorithms require statistical data and are designed for post-processing. In order to bridge sampling gaps caused by occluded markers and hence to improve 3D real-time motion capture, we suggest a computationally cost-efficient extrapolation algorithm partly combined with a so-called constraint matrix. The realization of this prediction algorithm does not require statistical data nor does it rely on an underlying cinematic human model with pre-defined marker distances. Under the assumption that human motion can be linear, circular, or a linear combination of both, a prediction method is realized. The paper presents measurements of a circular movement wherein a marker is briefly lost. The suggested extrapolation method behaves well for a reasonable number of frames, not exceeding around two seconds of time.

© All rights reserved Piazza et al. and/or Springer




 

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