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» Matching images more efficiently with local descriptors
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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
PCM
2010
Springer
143views Multimedia» more  PCM 2010»
13 years 5 months ago
Robust Shape Retrieval through a Novel Statistical Descriptor
We propose a novel statistical descriptor, Multiple References Histogram Matrix (MRHM), for robust shape retrieval, especially for degraded shape images. For each shape image, MRHM...
Tuantuan Wang, Tong Lu, Wenyin Liu
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 3 days ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
ICPR
2008
IEEE
14 years 8 months ago
A local descriptor for finding corresponding points in vector fields
Vector fields may come from video data (via optical flow and tracking), from weather phenomena (e.g., wind speed and direction), and from medical imaging. An important component i...
H. Quynh Dinh, Liefei Xu
ICASSP
2009
IEEE
14 years 2 months ago
Compression of image patches for local feature extraction
Local features are widely used for content-based image retrieval and object recognition. We present an efficient method for encoding digital images suitable for local feature extr...
Mina Makar, Chuo-Ling Chang, David M. Chen, Sam S....