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» Efficient use of local edge histogram descriptor
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ICPR
2006
IEEE
14 years 6 months ago
Efficient Topological Localization Using Orientation Adjacency Coherence Histograms
This paper describes an efficient vision-based global topological localization approach that uses a coarse-tofine strategy. Orientation Adjacency Coherence Histogram (OACH), a nov...
Junqiu Wang, Hongbin Zha, Roberto Cipolla
ICMCS
2008
IEEE
245views Multimedia» more  ICMCS 2008»
13 years 11 months ago
A novel local feature descriptor for image matching
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...
Heng Yang, Qing Wang
ICPR
2010
IEEE
13 years 7 months ago
An RST-Tolerant Shape Descriptor for Object Detection
In this paper, we propose a new object detection method that does not need a learning mechanism. Given a hand-drawn model as a query, we can detect and locate objects that are sim...
Chih-Wen Su, Mark Liao, Yu-Ming Liang, Hsiao-Rong ...
CVPR
2008
IEEE
14 years 7 months ago
Edge descriptors for robust wide-baseline correspondence
This paper describes a method for finding wide-baseline correspondences between images at locations along gradient edges. We find edges in scale space using established methods an...
Jason Meltzer, Stefano Soatto
ICPR
2008
IEEE
14 years 6 months ago
Circular Earth Mover's Distance for the comparison of local features
Many computer vision algorithms make use of local features, and rely on a systematic comparison of these features. The chosen dissimilarity measure is of crucial importance for th...
Julie Delon, Julien Rabin, Yann Gousseau