Proceedings Article10.5244/C.12.7
Automatic face representation and classification
D.B. Graham,Nigel M. Allinson +1 more
- 01 Sep 1998
- pp 1-10
TL;DR: A system which automatically determines a representation for pose-varying facial images - a representation with inherent classification properties, an ability to generalise from one viewing condition to another, and which uses fast computational procedures is described.
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Abstract: A working face recognition system requires the ability to represent facial images in such a way that permits efficient and accurate processing. The human visual system effectively stores, recognises and classifies familiar facial images under a wide variety of viewing conditions, albeit with various degrees of accuracy. We describe a system which automatically determines a representation for pose-varying facial images - a representation with inherent classification , an ability to generalise from one viewing condition to another, and which uses fast computational procedures.
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Citations
Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image
Tae-Kyun Kim,J. Kittler +1 more
TL;DR: A novel gradient-based learning algorithm is proposed for finding the optimal set of local linear bases for multiclass nonlinear discrimination and it is computationally highly efficient as compared to GDA.
331
Survey of Clustering: Algorithms and Applications
Raymond Greenlaw,Sanpawat Kantabutra +1 more
- 01 Apr 2013
TL;DR: Top-down and bottom-up hierarchical clustering are described and the concept of representative points is introduced and the technique of discovering them is presented, as well as issues involving parallel clustering.
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Combining classifier for face identification at unknown views with a single model image
Tae-Kyun Kim,Josef Kittler +1 more
TL;DR: This work investigates a number of approaches to pose invariant face recognition and shows experimentally that the four methods developed individually outperform the classical method of Principal Component Analysis(PCA)-Linear Discriminant Analysis(LDA).
Modeling physical personalities for virtual agents by modeling trait impressions of the face: a neural network analysis
Linda W. Friedman,Sheryl Diane Brahnam +1 more
- 01 Jan 2002
TL;DR: In this article, the authors model the physical personality for virtual agents by modeling the impression of the face of a real person, and apply it to a virtual agent's training environment.
Design and Fusion of Pose-Invariant Face-Identification Experts
Tae-Kyun Kim,Josef Kittler +1 more
TL;DR: The proposed fusion architecture of the pose-invariant face experts achieves an impressive accuracy gain by virtue of the individual experts diversity.
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