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» A SIFT Descriptor with Global Context
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ICPR
2006
IEEE
14 years 8 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
CCIA
2007
Springer
14 years 1 months ago
An Evaluation of an Object Recognition Schema Using Multiple Region Detectors
Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...
Meritxell Vinyals, Arnau Ramisa, Ricardo Toledo
ACCV
2006
Springer
14 years 1 months ago
Biologically Motivated Perceptual Feature: Generalized Robust Invariant Feature
Abstract. In this paper, we present a new, biologically inspired perceptual feature to solve the selectivity and invariance issue in object recognition. Based on the recent findin...
Sungho Kim, In-So Kweon
ECCV
2006
Springer
14 years 9 months ago
Maximally Stable Local Description for Scale Selection
Scale and affine-invariant local features have shown excellent performance in image matching, object and texture recognition. This paper optimizes keypoint detection to achieve sta...
Cordelia Schmid, Gyuri Dorkó
CVPR
2006
IEEE
14 years 9 months ago
Diffusion Distance for Histogram Comparison
In this paper we propose diffusion distance, a new dissimilarity measure between histogram-based descriptors. We define the difference between two histograms to be a temperature f...
Haibin Ling, Kazunori Okada