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» Improved SIFT-Features Matching for Object Recognition
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PRL
2008
122views more  PRL 2008»
13 years 7 months ago
Constraints for closest point finding
The traditional closest point criterion has been widely used for 3D free form shape matching, object recognition, internet search, computer graphics and medical imaging. However, ...
Yonghuai Liu
ICPR
2004
IEEE
14 years 8 months ago
Rehashing for Bayesian Geometric Hashing
Geometric hashing is a model-based recognition technique based on matching of transformation-invariant object representations stored in a hash table. In the last decade a number o...
Ehud Rivlin, Ilya Blayvas, Michael Lifshits, Micha...
CVPR
2007
IEEE
14 years 9 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,...
CVPR
2003
IEEE
14 years 9 months ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
CVPR
2005
IEEE
14 years 9 months ago
MosaicShape: Stochastic Region Grouping with Shape Prior
A method that combines shape-based object recognition and image segmentation is proposed for shape retrieval from images. Given a shape prior represented in a multiscale curvature...
Jingbin Wang, Erdan Gu, Margrit Betke