Name
Abstract | ||
|---|---|---|
A new algorithm that project 3D face model to 2D planes is proposed. 3D face models are projected to different directions and a series of 2D face images are obtained. The projected 2D results areusedas templates to match the input face images with different poses. The method that constructs 3D face model with 2.5D scans acquired by Minolta Vivid 910 is studied and a 3D face database containing 10 persons is built. Experimental results show that the proposed algorithm improves the recognition rate greatly for face images with pose variations than the method that uses just frontal images as templates. © 2008 IEEE. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ROBIO.2007.4522202 | 2007 IEEE International Conference on Robotics and Biomimetics, ROBIO |
Keywords | Field | DocType |
face recognition | Computer vision,Facial recognition system,Face hallucination,Three-dimensional face recognition,Object-class detection,Computer science,Solid modelling,Face Recognition Grand Challenge,Artificial intelligence,Face detection | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
978-1-4244-1758-2 | 0 | 0.34 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhifang Liu | 1 | 27 | 3.96 |
| Yunqiong Wang | 2 | 30 | 2.59 |
| Zhisheng You | 3 | 417 | 52.22 |
| Minghua Zhao | 4 | 33 | 15.77 |