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ICCV
1998
IEEE
14 years 6 months ago
A Probabilistic Framework for Edge Detection and Scale Selection
We devise a statistical framework for edge detection by performing a statistical analysis of zero crossings of the second derivative of an image. This analysis enables us to estim...
David H. Marimont, Yossi Rubner
CVPR
2006
IEEE
14 years 7 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
CVPR
1996
IEEE
1457views Computer Vision» more  CVPR 1996»
14 years 7 months ago
Edge Detection and Ridge Detection with Automatic Scale Selection
When computing descriptors of image data, the type of information that can be extracted may be strongly dependent on the scales at which the image operators are applied. This arti...
Tony Lindeberg
IJCV
1998
238views more  IJCV 1998»
13 years 4 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
DAGM
2003
Springer
13 years 10 months ago
Optimal Scale Selection for Circular Edge Extraction
This paper addresses the issue of optimal scale selection for circular edge extraction in the context of higher dimensional multiscale edge extraction. Based on a classification o...
Ji-Young Lim, H. Siegfried Stiehl