Name
Abstract | ||
|---|---|---|
In this paper, we propose an original framework for three dimensional face representation and similarity matching. Basic traits of a face are encoded by extracting convex and concave regions from the surface of a face model. A compact graph representation is then constructed from these regions through an original modeling technique capable to quantitatively measure spatial relationships between regions in a three dimensional space and to encode this information in an attributed relational graph. In this way, the structural similarity between two face models is evaluated by matching their corresponding graphs. Experimental results on a 3D face database show that the proposed solution attains high retrieval accuracy and is reasonably robust to facial expression and pose changes. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/978-3-540-71545-0_9 | Adaptive Multimedia Retrieval |
Keywords | Field | DocType |
convex region,face recognition,dimensional space,face database show,original framework,similarity matching,dimensional face representation,face model,relational graph,compact graph representation,corresponding graph,original modeling technique,graph representation,facial expression,structural similarity,spatial relationships,three dimensional | Graph,Three-dimensional space,Facial recognition system,ENCODE,Pattern recognition,Computer science,Regular polygon,Facial expression,Artificial intelligence,Similarity matching,Graph (abstract data type) | Conference |
Volume | ISSN | Citations |
4398 | 0302-9743 | 8 |
PageRank | References | Authors |
0.55 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Berretti | 1 | 880 | 52.33 |
| Alberto Del Bimbo | 2 | 3777 | 420.44 |
| Pietro Pala | 3 | 1239 | 91.64 |