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Pictorial Portrait Indexing Using View-Based Eigen-Eyes

C. SaracenoContact Information, M. ReiterContact Information, P. KammererContact Information, E. ZoldaContact Information and W. KropatschContact Information

(6)  PRIP-Vienna University of Technology, Treitlstr. 3, 183/2, A-1040 Vienna, Austria
Abstract
A hierarchical database indexing method for a pictorial portrait database is presented, which is based on Principal Component Analysis (PCA). The description incorporates the eyes, as the most salient region in the portraits. The algorithm has been tested on 600 portrait miniatures of the Austrian National Library.
This work was supported by the Austrian Science Foundation (FWF) under grants P12028-MAT and S7000-MAT.

Contact Information C. Saraceno
Email: saraceno@prip.tuwien.ac.at

Contact Information M. Reiter
Email: rei@prip.tuwien.ac.at

Contact Information P. Kammerer
Email: paul@prip.tuwien.ac.at

Contact Information E. Zolda
Email: zolda@prip.tuwien.ac.at

Contact Information W. Kropatsch
Email: krw@prip.tuwien.ac.at
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