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» Analysis on a Local Approach to 3D Object Recognition
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CVPR
2005
IEEE
14 years 11 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
ICCV
2003
IEEE
14 years 11 months ago
Recognition with Local Features: the Kernel Recipe
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...
AMFG
2003
IEEE
126views Biometrics» more  AMFG 2003»
14 years 2 months ago
Rank Constrained Recognition under Unknown Illuminations
Recognition under illumination variations is a challenging problem. The key is to successfully separate the illumination source from the observed appearance. Once separated, what ...
Shaohua Kevin Zhou, Rama Chellappa
CVPR
2003
IEEE
14 years 11 months ago
Face Recognition Under Variable Lighting using Harmonic Image Exemplars
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
Lei Zhang 0002, Dimitris Samaras
SACI
2007
IEEE
14 years 3 months ago
Haptic Human Interfaces for Robotic Telemanipulation
–This paper proposes that there are ultimately only two topical tactile feedback generation modalities for haptic human interfaces which allow the human operator to handle either...
Emil M. Petriu, Pierre Payeur, Ana-Maria Cretu