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» Multi-Class Linear Feature Extraction by Nonlinear PCA
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AMFG
2007
IEEE
328views Biometrics» more  AMFG 2007»
15 years 4 months ago
Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
Extending recognition to uncontrolled situations is a key challenge for practical face recognition systems. Finding efficient and discriminative facial appearance descriptors is c...
Xiaoyang Tan, Bill Triggs
ECCV
2000
Springer
15 years 11 months ago
On Utilising Template and Feature-Based Correspondence in Multi-view Appearance Models
In principle, the recovery and reconstruction of a 3D object from its 2D view projections require the parameterisation of its shape structure and surface re ectance properties. Exp...
Sami Romdhani, Alexandra Psarrou, Shaogang Gong
CVPR
2001
IEEE
15 years 11 months ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
ICDAR
2007
IEEE
15 years 4 months ago
Robust Document Warping with Interpolated Vector Fields
This paper describes a new versatile algorithm for correcting nonlinear distortions, such as curvature of book pages, in camera based document processing. We introduce the idea of...
D. Schneider, Marco Block, Raúl Rojas
TIP
2011
162views more  TIP 2011»
14 years 4 months ago
Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...
Allan Aasbjerg Nielsen