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» The CMU Pose, Illumination, and Expression (PIE) Database
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PAMI
2006
227views more  PAMI 2006»
14 years 9 months ago
Matching 2.5D Face Scans to 3D Models
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system...
Xiaoguang Lu, Anil K. Jain, Dirk Colbry
FGR
2008
IEEE
152views Biometrics» more  FGR 2008»
15 years 4 months ago
Facial feature detection with optimal pixel reduction SVM
Automatic facial feature localization has been a longstanding challenge in the field of computer vision for several decades. This can be explained by the large variation a face i...
Minh Hoai Nguyen, Joan Perez, Fernando De la Torre
CVPR
2006
IEEE
15 years 12 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
WACV
2005
IEEE
15 years 3 months ago
Integrating Range and Texture Information for 3D Face Recognition
The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance. We are developing a face...
Xiaoguang Lu, Anil K. Jain
CORR
2010
Springer
257views Education» more  CORR 2010»
14 years 7 months ago
Survey on Various Gesture Recognition Techniques for Interfacing Machines Based on Ambient Intelligence
Gesture recognition is mainly apprehensive on analyzing the functionality of human wits. The main goal of gesture recognition is to create a system which can recognize specific hu...
Harshith C, Karthik R. Shastry, Manoj Ravindran, M...