| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
K. Jonsson and J. Kittler and J. Matas
ABSTRACT
The paper studies Support Vector Machines (SVMs) in the context of face authentication. We present an evalua tion of the impact of registration errors on the SVM per formance. The results obtained by randomly perturbing the groundtruth eye coordinates are compared to those of a fully automatic registration technique based on a robust form of correlation. In the latter method, misregistrations occur when the optimisation of the similarity function fails and the search terminates in a local maximum. The results of the comparison show that, unless prior knowledge about the problemspecific invariances is incorporated into the SVM training algorithm, the performance is likely to suffer. Nev ertheless, we present competitive results obtained on a large face database of 295 subjects and we show that the combined system based on the robust correlation for face registration and the SVMs for verification compares favourably with two other methods based on the dynamic link architecture. Keywords: support vector machines, face registration, face verification, robust correlation. |
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