Pictorial Portrait Indexing Using View-Based Eigen-Eyes

Authors:
Caterina Saraceno;Michael Reiter;Paul Kammerer;Ernestine Zolda;Walter G. Kropatsch
Affiliations:
-;-;-;-;-
Venue:
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Year:
1999

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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.