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» Using Top-Points as Interest Points for Image Matching
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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
TIP
2008
144views more  TIP 2008»
13 years 7 months ago
Incremental Refinement of Image Salient-Point Detection
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationall...
Yiannis Andreopoulos, Ioannis Patras
ISBI
2004
IEEE
14 years 8 months ago
Non-Rigid Registration of Shapes Via Diffeomorphic Point Matching
Diffeomorphic non-rigid registration of shapes is a very difficult problem. We use the point-set representation for shapes since statistical shape analysis in this space is relati...
Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Lau...
ECCV
2010
Springer
13 years 7 months ago
Loosely Distinctive Features for Robust Surface Alignment
Many successful feature detectors and descriptors exist for 2D intensity images. However, obtaining the same effectiveness in the domain of 3D objects has proven to be a more elusi...
Andrea Albarelli, Emanuele Rodolà, Andrea T...
CVPR
2009
IEEE
1561views Computer Vision» more  CVPR 2009»
15 years 2 months ago
SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors
We present an efficient algorithm for continuous image recognition and feature descriptor tracking in video which operates by reducing the search space of possible interest poin...
Duy-Nguyen Ta (Georgia Institute of Technology), W...