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» On optimizing subspaces for face recognition
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CVPR
2003
IEEE
14 years 10 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma
SSPR
2004
Springer
14 years 1 months ago
Combining Classifier for Face Identification at Unknown Views with a Single Model Image
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
Tae-Kyun Kim, Josef Kittler
ICIP
2001
IEEE
14 years 9 months ago
A comparison of discrete and continuous output modeling techniques for a pseudo-2D hidden Markov model face recognition system
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
Frank Wallhoff, Stefan Eickeler, Gerhard Rigoll
ICCV
2005
IEEE
14 years 1 months ago
Non-Orthogonal Binary Subspace and Its Applications in Computer Vision
This paper presents a novel approach that represents an image or a set of images using a nonorthogonal binary subspace (NBS) spanned by boxlike base vectors. These base vectors po...
Hai Tao, Ryan Crabb, Feng Tang
ICPR
2008
IEEE
14 years 2 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi