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.
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Ahonen, T., Hadid, A., Pietikäinen, M.: Face Recognition with Local Binary Patterns. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004)
Baker, E., Seltzer, M.: The Mug-Shot Search Problem. In: Proc. Vis. Int., pp. 421–430 (1998)
Essex facial images database, http://cswww.essex.ac.uk/mv/allfaces/index.html
Fang, Y., Geman, D., Boujemaa, N.: An Interactive System for Mental Face Retrieval. In: Proc. International Workshop on Multimedia information retrieval, pp. 193–200 (2005)
Franco, A., Lumini, A.: Mixture of KL Subspaces for relevance feedback. Multimedia Tools and Applications 37(2), 189–209 (2008)
Franco, A., Maio, D., Lumini, A.: A new approach for relevance feedback through positive and negative samples. In: Proc. ICPR, vol. 4, pp. 905–908 (2004)
Fukunaga, K.: Statistical Pattern Recognition. Academic Press, San Diego (1990)
MacQueen, J.B.: Some Methods for classification and Analysis of Multivariate Observations. In: Proc. Symp. on Math. Stat. and Probability, vol. 1, pp. 281–297 (1967)
Ojala, T., Pietikainen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. Pattern Recognition 29(1), 51–59 (1996)
ORL database of faces, http://www.uk.research.att.com/facedatabase.html
Viola, P., Jones, M.J.: Rapid object detection using a boosted cascade of simple features. In: Proc. of the IEEE ICCVPR, vol. 1, pp. 511–518 (2001)
Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: a literature survey. ACM Computing Surveys 35(4), 399–458 (2003)
Zhou, X.S., Huang, T.S.: Relevance feedback for image retrieval: a comprehensive review. Multimedia Systems 8(6), 536–544 (2003)
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Franco, A., Maio, D. (2009). Similarity Searches in Face Databases. In: Foggia, P., Sansone, C., Vento, M. (eds) Image Analysis and Processing – ICIAP 2009. ICIAP 2009. Lecture Notes in Computer Science, vol 5716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04146-4_48
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DOI: https://doi.org/10.1007/978-3-642-04146-4_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04145-7
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