Clustering face images with application to image retrieval in large databases

Florent Perronnin; Jean-Luc Dugelay

doi:10.1117/12.603276

28 March 2005 Clustering face images with application to image retrieval in large databases

Florent Perronnin, Jean-Luc Dugelay

Proceedings Volume 5779, Biometric Technology for Human Identification II; (2005) https://doi.org/10.1117/12.603276
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

In this article, we evaluate the effectiveness of a pre-classification scheme for the fast retrieval of faces in a large image database. The studied approach is based on a partitioning of the face space through a clustering of face images. Mainly two issues are discussed. How to perform clustering with a non-trivial probabilistic measure of similarity between faces? How to assign face images to all clusters probabilistically to form a robust characterization vector? It is shown experimentally on the FERET face database that, with this simple approach, the cost of a search can be reduced by a factor 6 or 7 with no significant degradation of the performance.

Citation Download Citation

Florent Perronnin and Jean-Luc Dugelay "Clustering face images with application to image retrieval in large databases", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.603276

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