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- Smeraldi, F., et al.
(författare)
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On the role of dimensionality in face authentication
- 2000
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Ingår i: Proceedings. - Halmstad : Högskolan i Halmstad. ; , s. 87-91
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- 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.
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- Smeraldi, Fabrizio, et al.
(författare)
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Saccadic search with Gabor features applied to eye detection and real-time head tracking
- 2000
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Ingår i: Image and Vision Computing. - Guildford : Butterworths. - 0262-8856 .- 1872-8138. ; 18:4, s. 323-329
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Tidskriftsartikel (refereegranskat)abstract
- The Gabor decomposition is a ubiquitous tool in computer vision. Nevertheless, it is generally considered computationally demanding for active vision applications. We suggest an attention-driven approach to feature detection inspired by the human saccadic system. A dramatic speedup is achieved by computing the Gabor decomposition only on the points of a sparse retinotopic grid. An off-line eye detection application and a real-time head localisation and tracking system are presented. The real-time system features a novel eyeball-mounted camera designed to simulate the dynamic performance of the human eye and is, to the best of our knowledge, the first example of active vision system based on the Gabor decomposition.
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