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FGR
2004
IEEE
238views Biometrics» more  FGR 2004»
13 years 11 months ago
Nearest Manifold Approach for Face Recognition
Faces under varying illumination, pose and non-rigid deformation are empirically thought of as a highly nonlinear manifold in the observation space. How to discover intrinsic low-...
Junping Zhang, Stan Z. Li, Jue Wang
BMVC
2001
13 years 10 months ago
Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...
Yongmin Li, Shaogang Gong, Heather M. Liddell
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
AMFG
2005
IEEE
164views Biometrics» more  AMFG 2005»
14 years 1 months ago
Face View Synthesis Across Large Angles
Pose variations, especially large out-of-plane rotations, make face recognition a difficult problem. In this paper, we propose an algorithm that uses a single input image to accura...
Jiang Ni, Henry Schneiderman
CVPR
2009
IEEE
15 years 2 months ago
Learning Mappings for Face Synthesis from Near Infrared to Visual Light Images
This paper deals with a new problem in face recognition research, in which the enrollment and query face samples are captured under different lighting conditions. In our case, t...
Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan ...