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ECCV
2010
Springer
15 years 5 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
147
Voted
SIAMIS
2011
14 years 7 months ago
Local Image Features Resulting from 3-Dimensional Geometric Features, Illumination, and Movement: II
This is the second part of an investigation into the visual clues in illuminated scenes, in terms of the interactions between apparent contours, shade and cast shadow curves, bound...
James N. Damon, Peter J. Giblin, Gareth Haslinger
110
Voted
CVPR
2006
IEEE
16 years 2 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
165
Voted
MM
2000
ACM
515views Multimedia» more  MM 2000»
15 years 4 months ago
Efficient use of local edge histogram descriptor
The purpose of this paper is to show how the edge histogram descriptor for MPEG-7 can be efficiently utilized for image matching. Since the edge histogram descriptor recommended f...
Dong Kwon Park, Yoon Seok Jeon, Chee Sun Won
TIP
2008
302views more  TIP 2008»
15 years 11 days ago
Adaptive Pseudo Dilation for Gestalt Edge Grouping and Contour Detection
We consider the problem of detecting object contours in natural images. In many cases, local luminance changes turn out to be stronger in textured areas than on object contours. Th...
Giuseppe Papari, Nicolai Petkov