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106
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FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
14 years 4 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
PAMI
2011
14 years 3 months ago
Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction
—3D object reconstruction from a single 2D line drawing is an important problem in computer vision. Many methods have been presented to solve this problem, but they usually fail ...
Jianzhuang Liu, Yu Chen, Xiaoou Tang
82
Voted
CIVR
2005
Springer
130views Image Analysis» more  CIVR 2005»
15 years 6 months ago
Improvement on PCA and 2DPCA Algorithms for Face Recognition
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee
83
Voted
ISNN
2005
Springer
15 years 6 months ago
An Improvement on PCA Algorithm for Face Recognition
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee
IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
15 years 6 months ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...