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.
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
File in questo prodotto:
File Dimensione Formato  
civr08.pdf

Accesso chiuso

Descrizione: documento finale
Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: DRM non definito
Dimensione 192.43 kB
Formato Adobe PDF
192.43 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/331726
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact