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Published Articles >> Table of Contents >> Abstract
Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
pp. 342-349
Simplified Belief Propagation for Multiple View Reconstruction
E. Scott Larsen, University of North Carolina at Chapel Hill, USA
Philippos Mordohai, University of North Carolina at Chapel Hill, USA
Marc Pollefeys, University of North Carolina at Chapel Hill, USA
Henry Fuchs, University of North Carolina at Chapel Hill, USA
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/3DPVT.2006.129
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| Abstract |
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We address multiple-view reconstruction under an optimization
approach based on belief propagation. A novel
formulation of belief propagation that operates in 3-D is
proposed to facilitate a true multi-image processing scheme
that takes visibility into account and thus is applicable to
scenes that contain significant occlusions. Visibility is not
approximated but is estimated and used in a modified plane
sweep stereo scheme. Optimization is performed in a simplified
belief propagation framework in which messages
are passed in 3-D, instead of 2-D, neighborhoods utilizing
information from all available images. The information
propagated from a point to one of its neighbors factors
in the distance between the two points in 3-D, their difference
in color. In contrast to traditional belief propagation,
the observation is updated at each iteration to incorporate
changes in visibility. The proposed approach is capable of
enforcing smoothness on the evolving 3-D surfaces without
being limited to a coarse resolution due to a volumetric representation.
Moreover, our approach is applicable to both
open and closed surfaces with no need for a priori knowledge
of the type. We present dense reconstructions of publicly
available image sets.
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 Additional Information
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Citation:
E. Scott Larsen, Philippos Mordohai, Marc Pollefeys, Henry Fuchs,
"Simplified Belief Propagation for Multiple View Reconstruction,"
3dpvt,
pp. 342-349,
Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06),
2006
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