Abstract In this paper, we introduce a new face recognition approach robust to allocation error of face features. We show that combining a “standard method” for face recognition and a new approach based on a “cloud of points” for representing a face image, we obtain a system that not only gives good performance when faces are perfectly detected, but also in the presence of detection errors. Extensive experiments carried out on the ORL and YALE databases of faces prove the advantages of the proposed approach when compared with other well-known techniques.

Nanni, L., Lumini, A. (2006). An approach for improving face recognition in presence of inaccurate detection. NEUROCOMPUTING, 69, 1678-1682 [10.1016/j.neucom.2006.01.019].

An approach for improving face recognition in presence of inaccurate detection

NANNI, LORIS;LUMINI, ALESSANDRA
2006

Abstract

Abstract In this paper, we introduce a new face recognition approach robust to allocation error of face features. We show that combining a “standard method” for face recognition and a new approach based on a “cloud of points” for representing a face image, we obtain a system that not only gives good performance when faces are perfectly detected, but also in the presence of detection errors. Extensive experiments carried out on the ORL and YALE databases of faces prove the advantages of the proposed approach when compared with other well-known techniques.
2006
Nanni, L., Lumini, A. (2006). An approach for improving face recognition in presence of inaccurate detection. NEUROCOMPUTING, 69, 1678-1682 [10.1016/j.neucom.2006.01.019].
Nanni, Loris; Lumini, Alessandra
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/30126
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