Face recognition in presence of either occlusions, illumination changes or large expression variations is still an open problem. This paper addresses this issue presenting a new local-based face recognition system that combines weak classifiers yielding a strong one. The method relies on sparse approximation using dictionaries built on a pool of local features extracted from automatically cropped images. Experiments on the AR database show the effectiveness of our method, which outperforms current state-of-the art techniques.
Face recognition in uncontrolled conditions using sparse representation and local features / A. Adamo, G. Grossi, R. Lanzarotti (LECTURE NOTES IN COMPUTER SCIENCE). - In: Image analysis and processing – ICIAP 2013 / [a cura di] A. Petrosino. - Heidelberg : Springer, 2013 Sep. - ISBN 9783642411830. - pp. 31-40 (( Intervento presentato al 17. convegno International Conference on Image Analysis and Processing tenutosi a Napoli nel 2013.
Titolo: | Face recognition in uncontrolled conditions using sparse representation and local features |
Autori: | GROSSI, GIULIANO (Primo) |
Parole Chiave: | Sparse representation; face recognition; face partial occlusions; expression variations; illumination variations; local features |
Settore Scientifico Disciplinare: | Settore INF/01 - Informatica Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni |
Data di pubblicazione: | set-2013 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-642-41184-7_4 |
Tipologia: | Book Part (author) |
Appare nelle tipologie: | 03 - Contributo in volume |
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File | Descrizione | Tipologia | Licenza | |
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ICIAP2013.pdf | Post-print, accepted manuscript ecc. (versione accettata dall'editore) | Administrator Richiedi una copia | ||
Adamo2013_Chapter_FaceRecognitionInUncontrolledC.pdf | Publisher's version/PDF | Open Access Visualizza/Apri |