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151
Voted
CVPR
2012
IEEE
13 years 6 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...
139
Voted
CVPR
2004
IEEE
16 years 5 months ago
A Unified Framework for Uncertainty Propagation in Automatic Shape Tracking
Uncertainty handling plays an important role during shape tracking. We have recently shown that the fusion of measurement information with system dynamics and shape priors greatly...
Xiang Sean Zhou, Dorin Comaniciu, Binglong Xie, R....
125
Voted
CVPR
2006
IEEE
16 years 5 months ago
Improving Recognition of Novel Input with Similarity
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
Jerod J. Weinman, Erik G. Learned-Miller
117
Voted
DCC
2002
IEEE
16 years 3 months ago
Joint Embedded Coding of Data and Grid Using First-Generation Wavelet Transforms
Many applications in a variety of scientific domains produce datasets that consist of a data field lying on a sampling grid that may not be uniformly spaced. However, progressive ...
James E. Fowler, Yonghui Wang
126
Voted
CVPR
1999
IEEE
15 years 8 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher