Abstract | ||
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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. |
Year | DOI | Venue |
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2008 | 10.1145/1386352.1386354 | CIVR |
Keywords | Field | DocType |
face image,last year,geodesic distance,face retrieval,spatial relationships,face recognition system,major emphasis,weighted walkthroughs,3d face recognition,face recognition,invariance-to lighting condition,increasing availability,integral geometric shape information,active research area,human subject,face model,expression invariance,three dimensional | Computer vision,Facial recognition system,Face hallucination,Object-class detection,Three-dimensional face recognition,Pattern recognition,Computer science,Geometric shape,Artificial intelligence,Face detection | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stefano Berretti | 1 | 880 | 52.33 |
Alberto Del Bimbo | 2 | 3777 | 420.44 |
Pietro Pala | 3 | 1239 | 91.64 |