Proceedings Article10.1049/CP:19970864
Face recognition using virtual parametric eigenspace signatures
D.B. Graham,Nigel M. Allinson +1 more
- 14 Jul 1997
- Vol. 1, pp 106-110
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TL;DR: A novel system for face recognition which utilises the parametric eigenspace of Murase and Nayar (1993) to determine both the pose and identification of a face held within a current face database is proposed.
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Abstract: This paper proposes a novel system for face recognition which utilises the parametric eigenspace of Murase and Nayar (1993) to determine both the pose and identification of a face held within a current face database. In order that all views from profile to frontal are available for recognition a sample of views are taken from a range of angles so that, during the identification process, virtual views can be estimated from a novel view to supply ordered coordinates in the eigenvector subspace for the recognition algorithm. The method is demonstrated on a set of faces and results show that the technique is practical. The system is described in the context of a theoretical model of human face recognition which closely resembles that described in the literature
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Citations
Face recognition from unfamiliar views: subspace methods and pose dependency
D.B. Graham,Nigel M. Allinson +1 more
- 14 Apr 1998
TL;DR: The ability of the system to learn from several training views, as available in video footage, is shown to improve the overall performance of thesystem as is the use of multiple testing images.
54
Object recognition based on fractal neighbor distance
Teewoon Tan,Hong Yan,Hong Yan +2 more
TL;DR: The performance of several variants of this algorithm was compared to other approaches to face recognition including eigenfaces, and the nearest neighbor classifier and the best variant of this new method achieved an average error rate of 1.75%.
19
Application of recirculation neural network and principal component analysis for face recognition
Dmitry Bryliuk,Valery Starovoitov +1 more
- 01 Jan 2001
TL;DR: A new simple and fast algorithm was used to train RNN for calculation principal components from a large set of face images and the ability of the RNN to reconstruct face images is explored.
Multimodal weighted dictionary learning
Ali Taalimi,Hesam Shams,Alireza Rahimpour,Rahman Khorsandi,Wei Wang,Rui Guo,Hairong Qi +6 more
- 01 Aug 2016
TL;DR: This work proposes a new framework for feature fusion to achieve better classification performance as compared to the case where individual sources are utilized, and demonstrates that MWDL outperforms state-of-the-art dictionary learning approaches in various experiments.
8
Automatic face representation and classification
D.B. Graham,Nigel M. Allinson +1 more
- 01 Sep 1998
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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TL;DR: Invited Papers: Recent HDTV systems (M. Kunt), Polynomial methods in motion analysis, Neural Networks for Image Processing, and Applications of Image Processing.
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TL;DR: In this paper, the authors propose a set of measures for measuring, measuring, and scaling in the context of psychometrics and scaling theory: Perception and Psychophysics. Cognitive Processes. Performance and Timing. Social Choice and Conflict. Indexes.
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