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 [BibTeX] [Marc21]
Local Features and 1D-HMMs for Fast and Robust Face Authentication
Type of publication: Idiap-RR
Citation: cardinaux05-17
Number: Idiap-RR-17-2005
Year: 2005
Institution: IDIAP
Abstract: It has been previously demonstrated that systems based on Hidden Markov Models (HMMs) are suitable for face recognition. The proposed approaches in the literature are either HMMs with one-dimensional (1D-HMMs) or two-dimensional (2D-HMMs) topology. Both have shown some serious drawbacks. The 1D-HMM approaches typically use a whole row (or column) of an image as observation vector and by consequence do not allow horizontal (or vertical) alignment. 2D-HMM approaches present some implementation issues because of the computational cost. In this paper, we propose a 1D-HMM approach which allow the use of local features and we will demonstate the accuracy of this approach on the so-called BANCA database.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Cardinaux, Fabien
Added by: [UNK]
Total mark: 0
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