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» Pose and Illumination Invariant Face Recognition in Video
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ICMCS
2005
IEEE
229views Multimedia» more  ICMCS 2005»
14 years 4 hour ago
A methodology for improving recognition rate of linear discriminant analysis in video-based face recognition using support vecto
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
Sreekar Krishna, Sethuraman Panchanathan
PREMI
2005
Springer
13 years 12 months ago
3D Facial Pose Tracking in Uncalibrated Videos
Abstract. This paper presents a method to recover the 3D configuration of a face in each frame of a video. The 3D configuration consists of the three translational parameters and...
Gaurav Aggarwal, Ashok Veeraraghavan, Rama Chellap...
ICPR
2006
IEEE
14 years 7 months ago
Face Set Classification using Maximally Probable Mutual Modes
In this paper we consider face recognition from sets of face images and, in particular, recognition invariance to illumination. The main contribution is an algorithm based on the ...
Ognjen Arandjelovic, Roberto Cipolla
ICPR
2004
IEEE
14 years 7 months ago
A System Identification Approach for Video-based Face Recognition
The paper poses video-to-video face recognition as a dynamical system identification and classification problem. Video-to-video means that both gallery and probe consists of video...
Amit K. Roy Chowdhury, Gaurav Aggarwal, Rama Chell...
FGR
2008
IEEE
164views Biometrics» more  FGR 2008»
13 years 8 months ago
Colour invariants for machine face recognition
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we investigate the discriminative power of colour...
Ognjen Arandjelovic, Roberto Cipolla