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WIAMIS
2009
IEEE

3D shape from multi-camera views by error projection minimization

10 years 12 days ago
3D shape from multi-camera views by error projection minimization
Traditional shape from silhouette methods compute the 3D shape as the intersection of the back-projected silhouettes in the 3D space, the so called visual hull. However, silhouettes that have been obtained with background subtraction techniques often present miss-detection errors (produced by false negatives or occlusions) which produce incomplete 3D shapes. Our approach deals with miss-detections and noise in the silhouettes. We recover the voxel occupancy which describes the 3D shape by minimizing an energy based on an approximation of the error between the shape 2D projections and the silhouettes. The energy also includes regularization and takes into account the visibility of the voxels in each view in order to handle self-occlusions.
Gloria Haro, Montse Pardàs
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where WIAMIS
Authors Gloria Haro, Montse Pardàs
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