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» Kernel PCA for similarity invariant shape recognition
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IJON
2007
166views more  IJON 2007»
13 years 4 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi
CVPR
2010
IEEE
14 years 1 months ago
Scale-Invariant heat kernel signatures for non-rigid shape recognition
One of the biggest challenges in non-rigid shape retrieval and comparison is the design of a shape descriptor that would maintain invariance under a wide class of transformations ...
Michael Bronstein, Iasonas Kokkinos
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
13 years 10 months ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah
ICPR
2006
IEEE
13 years 10 months ago
Transformation Invariance in Hand Shape Recognition
In hand shape recognition, transformation invariance is key for successful recognition. We propose a system that is invariant to small scale, translation and shape variations. Thi...
Thomas Coogan, Alistair Sutherland
ICB
2007
Springer
238views Biometrics» more  ICB 2007»
13 years 8 months ago
Keypoint Identification and Feature-Based 3D Face Recognition
We present a feature-based 3D face recognition algorithm and propose a keypoint identification technique which is repeatable and identifies keypoints where shape variation is high ...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens