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On the role of dime...
On the role of dimensionality in face authentication
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- Smeraldi, F. (författare)
- Swiss Federal Institute of Technology, Lausanne
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- Bigun, Josef (författare)
- Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)
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- Gerstner, W. (författare)
- Swiss Federal Institute of Technology, Lausanne
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(creator_code:org_t)
- Halmstad : Högskolan i Halmstad, 2000
- 2000
- Engelska.
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Ingår i: Proceedings. - Halmstad : Högskolan i Halmstad. ; , s. 87-91
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- A study of the dimensionality of the Face Authentication problem using Principal Component Analysis (PCA) and a novel dimensionality reduction algorithm that we call Support Vector Features (SVF) is presented. Starting from a Gabor feature space, we show that PCA and SVF identify distinct subspaces with comparable authentication and generalisation performance. Experiments using KNN classifiers and Support Vector Machines (SVMs) indicate that the number of PCs or SVF required for the authentication performance to saturate heavily depends on the choice of the classifier. SVMs appear to be vulnerable to excessive PCA-based compression.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Information technology
- Informationsteknik
Publikations- och innehållstyp
- vet (ämneskategori)
- kon (ämneskategori)