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» On the Dimensionality of Face Space
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MVA
2000
154views Computer Vision» more  MVA 2000»
15 years 16 days ago
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a...
Hitoshi Imaoka, Shizuo Sakamoto
95
Voted
IPMI
2005
Springer
16 years 1 months ago
Surface Matching via Currents
Abstract. We present a new method for computing an optimal deformation between two arbitrary surfaces embedded in Euclidean 3-dimensional space. Our main contribution is in buildin...
Marc Vaillant, Joan Glaunes
128
Voted
NIPS
2001
15 years 2 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...
ACCV
2009
Springer
15 years 7 months ago
Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles
Face recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snapshot about the ...
Xi Li, Kazuhiro Fukui, Nanning Zheng
ICIP
2004
IEEE
16 years 2 months ago
Regularization studies on LDA for face recognition
It is well-known that the applicability of Linear Discriminant Analysis (LDA) to high-dimensional pattern classification tasks such as face recognition (FR) often suffers from the...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...