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» Using Component Features for Face Recognition
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ICPR
2004
IEEE
14 years 8 months ago
Combining Null Space-based Gabor Features for Face Recognition
We propose a novel face recognition strategy combining various discriminating Gabor features in multi-scales and multi-orientations. A bank of well-chosen Gabor filters is applied...
Tieniu Tan, Wei Fan, Wei Liu, Yunhong Wang
ICPR
2010
IEEE
14 years 1 months ago
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference
While existing face recognition systems based on local features are robust to issues such as misalignment, they can exhibit accuracy degradation when comparing images of differing...
Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian...
FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
12 years 11 months ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto
CVPR
2006
IEEE
14 years 9 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang
ACCV
2007
Springer
14 years 1 months ago
Kernel Discriminant Analysis Based on Canonical Differences for Face Recognition in Image Sets
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
Wen-Sheng Vincent Chu, Ju-Chin Chen, Jenn-Jier Jam...