512 search results - page 86 / 103 » Randomness and Geometric Features in Computer Vision |
150
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
143
Voted
ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
119
Voted
CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? I...
128
Voted
ACIVS
2007
Springer
15 years 8 months ago
2007
Springer
Multi-camera networks bring in potentials for a variety of vision-based applications through provisioning of rich visual information. In this paper a method of image segmentation f...
132
click to vote
GBRPR
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. We introduce a new framework for feature grouping based on factor graphs, which are graphical models that encode interactions among arbitrary numbers of random variables....