Face recognition (identification) has been an active research area in the last years, with a major emphasis targeting detection and recognition of faces in still images and videos. More recently, the increasing availability of three-dimensional (3D) data, has paved the way to the use of 3D face models to improve the effectiveness of face recognition systems. In fact, solutions based on 3D face models feature less sensitivity-if not invariance-to lighting conditions and pose. This is particularly relevant in real contexts of use, where face images are usually captured in non-controlled environments, without any particular cooperation by human subjects.

3D Face Retrieval using Integral Geometric Shape Information / S. Berretti; A. Del Bimbo; P. Pala. - STAMPA. - (2008), pp. 395-396. (Intervento presentato al convegno ACM Int. Conf. on Image and Video Retrieval (CIVR'08) tenutosi a Niagara Falls, Canada nel July 7-9) [10.1145/1386352.1386354].

3D Face Retrieval using Integral Geometric Shape Information

BERRETTI, STEFANO;DEL BIMBO, ALBERTO;PALA, PIETRO
2008

Abstract

Face recognition (identification) has been an active research area in the last years, with a major emphasis targeting detection and recognition of faces in still images and videos. More recently, the increasing availability of three-dimensional (3D) data, has paved the way to the use of 3D face models to improve the effectiveness of face recognition systems. In fact, solutions based on 3D face models feature less sensitivity-if not invariance-to lighting conditions and pose. This is particularly relevant in real contexts of use, where face images are usually captured in non-controlled environments, without any particular cooperation by human subjects.
2008
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
ACM Int. Conf. on Image and Video Retrieval (CIVR'08)
Niagara Falls, Canada
July 7-9
S. Berretti; A. Del Bimbo; P. Pala
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/331726
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