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» Improving Visual Matching
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156
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ICPR
2008
IEEE
15 years 7 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
VL
1999
IEEE
104views Visual Languages» more  VL 1999»
15 years 5 months ago
Pragmatic Graph Rewriting Modifications
We present new pragmatic constructs for easing programming in visual graph rewriting programming languages. The first is a modification to the rewriting process for nodes the host...
Peter J. Rodgers, Natalia Vidal
129
Voted
SUM
2007
Springer
15 years 6 months ago
Combining Uncertain Outputs from Multiple Ontology Matchers
Abstract. An ontology matching method (or a matcher) aims at matching every entity (or concept) in one ontology to the most suitable entity (or entities) in another ontology. Usual...
Ying Wang, Weiru Liu, David A. Bell
121
Voted
CVPR
2007
IEEE
16 years 2 months ago
Incorporating On-demand Stereo for Real Time Recognition
A new method for localising and recognising hand poses and objects in real-time is presented. This problem is important in vision-driven applications where it is natural for a use...
Thomas Deselaers, Antonio Criminisi, John M. Winn,...
ISMAR
2005
IEEE
15 years 6 months ago
Adaptive Line Tracking with Multiple Hypotheses for Augmented Reality
We present a real-time model-based line tracking approach with adaptive learning of image edge features that can handle partial occlusion and illumination changes. A CAD (VRML) mo...
Harald Wuest, Florent Vial, Didier Stricker