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» A Landmark Paper in Face Recognition
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ICPR
2008
IEEE
14 years 3 months ago
A 2D model for face superresolution
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
B. G. Vijay Kumar, Rangarajan Aravind
ICCV
2007
IEEE
14 years 10 months ago
Fitting a Morphable Model to 3D Scans of Faces
This paper presents a top-down approach to 3D data analysis by fitting a Morphable Model to scans of faces. In a unified framework, the algorithm optimizes shape, texture, pose an...
Volker Blanz, Kristina Scherbaum, Hans-Peter Seide...
ICPR
2002
IEEE
14 years 10 months ago
Fusion of Global and Local Features for Face Verification
In this paper, a novel personalized feature combination scheme is proposed for face verification. ANFIS (Adaptive Neuro-Fuzzy Inference System) and SVM (Support Vector Machine) ar...
Yuchun Fang, Tieniu Tan, Yunhong Wang
ICAPR
2009
Springer
14 years 1 months ago
Eigen-domain Relighting of Face Images for Illumination-invariant Face Verification
In this paper, we propose a method to exploit the uniqueness in the illumination variations on the face image of a subject for face verification. Using the 3D wireframe model of a...
Vinod Pathangay, Sukhendu Das
CVPR
2006
IEEE
14 years 10 months ago
Learning Patch Dependencies for Improved Pose Mismatched Face Verification
Most pose robust face verification algorithms, which employ 2D appearance, rely heavily on statistics gathered from offline databases containing ample facial appearance variation ...
Simon Lucey, Tsuhan Chen