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ECCV
2000
Springer
14 years 10 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
CVPR
2003
IEEE
14 years 11 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
ACCV
2007
Springer
14 years 3 months ago
The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition
This paper proposes the kernel orthogonal mutual subspace method (KOMSM) for 3D object recognition. KOMSM is a kernel-based method for classifying sets of patterns such as video fr...
Kazuhiro Fukui, Osamu Yamaguchi
JMM2
2007
218views more  JMM2 2007»
13 years 8 months ago
A Novel Method for 3D Face Detection and Normalization
—When automatically analyzing images of human faces, either for recognition in biometry applications or facial expression analysis in human machine interaction, one has to cope w...
Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis
TIFS
2010
173views more  TIFS 2010»
13 years 7 months ago
A hybrid approach for generating secure and discriminating face template
Abstract—Biometric template protection is one of the most important issues in deploying a practical biometric system. To tackle this problem, many algorithms, that do not store t...
Yi C. Feng, Pong C. Yuen, Anil K. Jain