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» A Landmark Paper in Face Recognition
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148
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AVSS
2009
IEEE
15 years 8 months ago
A 3D Face Model for Pose and Illumination Invariant Face Recognition
Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The powe...
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami...
AMFG
2005
IEEE
183views Biometrics» more  AMFG 2005»
15 years 7 months ago
Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling
This paper presents a new method for face modeling and face recognition from a pair of calibrated stereo cameras. In a first step, the algorithm builds a stereo reconstruction of...
Rik Fransens, Christoph Strecha, Luc J. Van Gool
136
Voted
CVPR
2007
IEEE
16 years 3 months ago
Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition
Outdoor face recognition is among the most challenging problems for face recognition. In this paper, we develop a discriminant mutual subspace learning algorithm for indoor and ou...
Zhifeng Li, Dahua Lin, Helen M. Meng, Xiaoou Tang
100
Voted
FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
15 years 5 months ago
Using Component Features for Face Recognition
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
Yuri Ivanov, Bernd Heisele, Thomas Serre
143
Voted
ACII
2005
Springer
15 years 3 months ago
Face and Facial Expression Recognition with an Embedded System for Human-Robot Interaction
In this paper, we present an embedded system in which face recognition and facial expression recognition for Human-Robot Interaction are implemented. To detect face with a fast and...
Yang-Bok Lee, Seungbin Moon, Yong-Guk Kim