Similarity Searches in Face Databases

Authors:
Annalisa Franco;Dario Maio
Affiliations:
DEIS, Università di Bologna, Bologna, Italy 40136;DEIS, Università di Bologna, Bologna, Italy 40136
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

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Abstract

In this paper the problem of similarity searches in face databases is addressed. An approach based on relevance feedback is proposed to iteratively improve the query result. The approach is suitable both to supervised and unsupervised contexts. The efficacy of the learning procedures are confirmed by the results obtained on publicly available databases of faces.