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CVPR
2010
IEEE
16 years 3 months ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce
SCALESPACE
2001
Springer
15 years 11 months ago
Gaussian Convolutions. Numerical Approximations Based on Interpolation
Abstract. Gaussian convolutions are perhaps the most often used image operators in low-level computer vision tasks. Surprisingly though, there are precious few articles that descri...
Rein van den Boomgaard, Rik van der Weij
ECCV
2010
Springer
15 years 11 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
ACMDIS
2006
ACM
15 years 10 months ago
Randomness as a resource for design
Randomness is being harnessed in the design of some interactive systems. This is observed in random blogs, random web searching, and in particular Apple's iPod Shuffle. Yet t...
Tuck Wah Leong, Frank Vetere, Steve Howard
ICPR
2006
IEEE
16 years 8 months ago
Five-Point Motion Estimation Made Easy
Estimating relative camera motion from two views is a classical problem in computer vision. The minimal case for such problem is the so-called five-point-problem, for which the st...
Hongdong Li, Richard I. Hartley