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ICCV
2005
IEEE
14 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICCV
2005
IEEE
14 years 9 months ago
Structured Light in Scattering Media
Virtually all structured light methods assume that the scene and the sources are immersed in pure air and that light is neither scattered nor absorbed. Recently, however, structur...
Srinivasa G. Narasimhan, Shree K. Nayar, Bo Sun, S...
ICCV
2003
IEEE
14 years 9 months ago
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
Fei-Fei Li 0002, Robert Fergus, Pietro Perona
ICCV
2001
IEEE
14 years 9 months ago
A Robust Interest Points Matching Algorithm
This paper presents an algorithm that matches interest points detected on a pair of grey level images taken from arbitrary points of view. First matching hypotheses are generated ...
Il-Kyun Jung, Simon Lacroix
ICCV
1999
IEEE
14 years 9 months ago
Multi-View Subspace Constraints on Homographies
The motion of a planar surface between two camera views induces a homography. The homography depends on the cameraintrinsic and extrinsic parameters, as well as on the 3D plane pa...
Lihi Zelnik-Manor, Michal Irani