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» Bayesian Maximum Margin Principal Component Analysis
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WSCG
2004
158views more  WSCG 2004»
13 years 7 months ago
Fully Automatic Elastic Registration of MR Images with Statistical Feature Extraction
We present a fully automatic scheme for the registration of MR images. The registration is carried out as a combination of an affine and an elastic transformation. The affine part...
Martin Held, Werner Weiser, Franz Wilhelmstöt...
CVPR
2006
IEEE
14 years 9 days ago
3D Face Recognition Using 3D Alignment for PCA
This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA f...
Trina Russ, Chris Boehnen, Tanya Peters
TIP
2008
157views more  TIP 2008»
13 years 6 months ago
Robust Face Tracking via Collaboration of Generic and Specific Models
Significant appearance changes of objects under different orientations could cause loss of tracking, "drifting." In this paper, we present a collaborative tracking framew...
Peng Wang, Qiang Ji
ICIAR
2005
Springer
13 years 11 months ago
Color Indexing by Nonparametric Statistics
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...
Ian Fraser, Michael A. Greenspan
CVPR
2007
IEEE
14 years 8 months ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...