Name
Abstract | ||
|---|---|---|
The recognition performance of the conventional 3D face recognition algorithm using ICP (Iterative Closest Point) is degraded for the 3D face data with expression changes. Addressing this problem, we consider the use of the expression-invariant local regions of a face. We find the expression-invariant regions through the distance analysis between 3D face data with the neutral expression and smile, and propose a robust 3D face recognition algorithm using passive stereo vision. We demonstrate efficient recognition performance of the proposed algorithm compared with the conventional ICP-based algorithm through the experiment using a stereo face image database which includes the face images with expression changes. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1587/transfun.E92.A.1047 | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES |
Keywords | Field | DocType |
biometrics, face recognition, 3D face, facial expression, phase-only correlation | Computer science,Stereopsis,Artificial intelligence,Face detection,Iterative closest point,Computer vision,Facial recognition system,Three-dimensional face recognition,Pattern recognition,Object-class detection,Algorithm,Facial expression,Biometrics | Journal |
Volume | Issue | ISSN |
E92A | 4 | 0916-8508 |
Citations | PageRank | References |
3 | 0.39 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akihiro Hayasaka | 1 | 4 | 1.10 |
| Koichi Ito | 2 | 368 | 54.87 |
| Takafumi Aoki | 3 | 915 | 125.99 |
| Hiroshi Nakajima | 4 | 89 | 12.41 |
| Koji Kobayashi | 5 | 88 | 14.40 |