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FTCGV
2011
122views more  FTCGV 2011»
14 years 10 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
SP
2003
IEEE
16 years 15 days ago
Hardening Functions for Large Scale Distributed Computations
Many recent large-scale distributed computing applications utilize spare processor cycles of personal computers that are connected to the Internet. The resulting distributed compu...
Doug Szajda, Barry G. Lawson, Jason Owen
CVPR
1996
IEEE
16 years 9 months ago
Comparison of Approaches to Egomotion Computation
We evaluated six algorithms for computing egomotion from image velocities. We established benchmarks for quantifying bias and sensitivity to noise, and for quantifying the converg...
Tina Yu Tian, Carlo Tomasi, David J. Heeger
CVPR
2003
IEEE
16 years 9 months ago
A Hybrid Approach for Computing Visual Hulls of Complex Objects
This paper addresses the problem of computing visual hulls from image contours. We propose a new hybrid approach which overcomes the precision-complexity trade-off inherent to vox...
Edmond Boyer, Jean-Sébastien Franco
ICCV
2001
IEEE
16 years 9 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black