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.
A. Franco, D. Maio (2009). Similarity searches in face databases. BERLINO : Springer.
Similarity searches in face databases
FRANCO, ANNALISA;MAIO, DARIO
2009
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.File in questo prodotto:
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