Name
Abstract | ||
|---|---|---|
We describe a robust method for 3D face recognition under variance of facial expressions. The method utilizes the identical areas on two facial images as the measurement of distance. To segment the identical area, partial shape matching is performed using closest point registration and level set method. The segmentation problem is formalized into an Eikonal equation, which can be efficiently solved by fast marching method. The presented 3D face recognition method shows a very promising recognition rate. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/SiPS.2011.6088991 | SiPS |
Keywords | Field | DocType |
iterative closest point (icp),image matching,face recognition,level set method,closest point registration,partial shape matching,image segmentation,3d face recognition,fast maching algorithm,fast marching method,facial expression,segmentation problem,partial differential equations,eikonal equation,image registration,three dimensional,iterative closest point,level set,face | Computer vision,Facial recognition system,Face hallucination,Pattern recognition,Three-dimensional face recognition,Level set method,Fast marching method,Computer science,Image segmentation,Robustness (computer science),Artificial intelligence,Image registration | Conference |
ISSN | ISBN | Citations |
2162-3562 | 978-1-4577-1920-2 | 1 |
PageRank | References | Authors |
0.35 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shun Miao | 1 | 143 | 17.54 |
| Hamid Krim | 2 | 520 | 59.69 |