Visual Shapes of Silhouette Sets

Jean-Sébastien Franco 1, 2 Marc Lapierre 1, 3 Edmond Boyer 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
3 ARTIS - Acquisition, representation and transformations for image synthesis
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : Shape from silhouette methods are extensively used to model dynamic and non-rigid objects using binary foreground-background images. Since the problem of reconstructing shapes from silhouettes is ambiguous, a number of solutions exist and several approaches only consider the one with a maximal volume, called the visual hull. However, the visual hull is not always a good approximation of shapes, in particular when observing smooth surfaces with few cameras. In this paper, we consider instead a class of solutions to the silhouette reconstruction problem that we call visual shapes. Such a class includes the visual hull, but also better approximations of the observed shapes which can take into account local assumptions such as smoothness, among others. Our contributions with respect to existing works is rst to identify silhouette consistent shapes different from the visual hull, and second to give a practical way to estimate such shapes in real time. Experiments on various sets of data including human body silhouettes are shown to illustrate the principle and the interests of visual shapes.
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Communication dans un congrès
Symposium on 3D Data Processing, Visualization and Transmission, Jun 2006, United States. pp.1-8, 2006, <10.1109/3DPVT.2006.148>
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Soumis le : lundi 22 décembre 2008 - 18:05:20
Dernière modification le : mercredi 14 décembre 2016 - 01:08:39
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Jean-Sébastien Franco, Marc Lapierre, Edmond Boyer. Visual Shapes of Silhouette Sets. Symposium on 3D Data Processing, Visualization and Transmission, Jun 2006, United States. pp.1-8, 2006, <10.1109/3DPVT.2006.148>. <hal-00349020>

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