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» Matching images more efficiently with local descriptors
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VIS
2009
IEEE
199views Visualization» more  VIS 2009»
14 years 8 months ago
Multi-Scale Surface Descriptors
Local shape descriptors compactly characterize regions of a surface, and have been applied to tasks in visualization, shape matching, and analysis. Classically, curvature has be us...
Gregory Cipriano, George N. Phillips Jr., Michae...
ICIP
2003
IEEE
14 years 9 months ago
Fast indexing for image retrieval based on local appearance with re-ranking
This paper describes an approach to retrieve images containing specific objects, scenes or buildings. The image content is captured by a set of local features. More precisely, we ...
Hao Shao, Tomás Svoboda, Vittorio Ferrari, ...
CVPR
2006
IEEE
14 years 9 months ago
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
This paper presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingl...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
ICPR
2004
IEEE
14 years 8 months ago
Graph Based Image Matching
Given two or more images, we can define different but related problems on pattern matching such as image registration, pattern detection and localization, and common pattern disco...
Chong-Wah Ngo, Hui Jiang
ICCV
2001
IEEE
14 years 9 months ago
Viewpoint Invariant Texture Matching and Wide Baseline Stereo
We describe and demonstrate a texture region descriptor which is invariant to affine geometric and photometric transformations, and insensitive to the shape of the texture region....
Frederik Schaffalitzky, Andrew Zisserman