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» On Ullman's theorem in computer vision
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ACCV
2010
Springer
13 years 24 days ago
Four Color Theorem for Fast Early Vision
Recent work on early vision such as image segmentation, image restoration, stereo matching, and optical flow models these problems using Markov Random Fields. Although this formula...
Radu Timofte, Luc J. Van Gool
CVPR
2004
IEEE
14 years 7 months ago
On the Distribution of Saliency
The calculation of salient structures is one of the early and basic ideas of perceptual organization in Computer Vision. Saliency algorithms typically mark edge-points with some s...
Alexander Berengolts, Michael Lindenbaum
CVPR
1997
IEEE
13 years 10 months ago
Identification of salient contours in cluttered images
We present a model of contour extraction in which the perceptual salience of contours arises from long-range interactions between orientation-selective filters. Ullman [19], Zucke...
Shih-Cheng Yen, Leif H. Finkel
ICPR
2006
IEEE
14 years 6 months ago
Adaptative Markov Random Fields for Omnidirectional Vision
Images obtained with catadioptric sensors contain significant deformations which prevent the direct use of classical image treatments. Thus, Markov Random Fields (MRF) whose usefu...
Cédric Demonceaux, Pascal Vasseur
ICPR
2006
IEEE
14 years 6 months ago
A 'No Panacea Theorem' for Multiple Classifier Combination
We introduce the `No Panacea Theorem' for classifier combination in the two-classifier, two-class case. It states that if the combination function is continuous and diverse, ...
Robert I. Damper, Roland Hu