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» Many-to-Many Feature Matching in Object Recognition
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CVPR
2010
IEEE
14 years 1 months ago
On improving point-based 3D recognition
We present a framework that retains ambiguity in feature matching to increase the performance of 3D object recognition systems. Whereas previous systems removed ambiguous correspo...
Edward Hsiao, Alvaro Collet, Martial Hebert
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
ICML
2008
IEEE
14 years 6 months ago
Robust matching and recognition using context-dependent kernels
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...
Hichem Sahbi, Jean-Yves Audibert, Jaonary Rabariso...
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
13 years 12 months ago
Object Recognition and Recovery by Skeleton Graph Matching
This paper presents a robust and efficient skeleton-based graph matching method for object recognition and recovery applications. The novel feature is to unify both object recogni...
Lei He, Chia Y. Han, William G. Wee
CVPR
2006
IEEE
14 years 7 months ago
Multiclass Object Recognition with Sparse, Localized Features
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
Jim Mutch, David G. Lowe