Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Ce...
- This paper presents a global method to process monocular image sequences for mobile robot obstacle detection. We do not aim to achieve a complete scene reconstruction, but only t...
A homogeneous paradigm for evidence integration is presented, and a vision system to recognize 3D objects is demonstrated using this paradigm. A new concept called generalizedfeat...
Rick Kjeldsen, Ruud M. Bolle, Andrea Califano, Rus...
In this paper, we present a new method for surface-based shape reconstruction from a set of silhouette images. We propose to project the viewing cones from all viewpoints to the 3...
This paper analyses the reconstruction of a 3-D scene from multiple images. The proposed approach uses a voxel representation for initializing an implicit radial basis function (R...