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» Object Recognition with Hierarchical Kernel Descriptors
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CVPR
2010
IEEE
14 years 27 days ago
Scale-Hierarchical 3D Object Recognition in Cluttered Scenes
3D object recognition in scenes with occlusion and clutter is a difficult task. In this paper, we introduce a method that exploits the geometric scale-variability to aid in this ...
Prabin Bariya, Ko Nishino
ICCV
2007
IEEE
14 years 7 months ago
3D object recognition from range images using pyramid matching
Recognition of 3D objects from different viewpoints is a difficult problem. In this paper, we propose a new method to recognize 3D range images by matching local surface descripto...
Xinju Li, Igor Guskov
ICCV
2007
IEEE
14 years 7 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
ICANN
2007
Springer
13 years 11 months ago
A Comparison of Features in Parts-Based Object Recognition Hierarchies
Parts-based recognition has been suggested for generalizing from few training views in categorization scenarios. In this paper we present the results of a comparative investigation...
Stephan Hasler, Heiko Wersing, Edgar Körner
ICCV
2005
IEEE
14 years 7 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele