Name
Abstract | ||
|---|---|---|
In this paper, a simple 3D edge based template for pose invariant face detection creation using side and front profiles of a general face is proposed. The 3D template is created using the edges that are always most likely to be extracted from a face given a certain pose. Bezier curves are used to create the template. When testing the template, genetic algorithms are used to guide the matching process thereby greatly reducing the total computation time required. The genetic algorithm automatically calculates the angle and the size of the template during the matching. An average pose invariant face detection accuracy of 84.6% was achieved. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11893011_88 | KES (3) |
Keywords | Field | DocType |
total computation time,front profile,genetic algorithm,invariant face detection accuracy,invariant face detection creation,bezier curve,matching process,general face,edge template,template matching,genetic algorithms,face detection | Template matching,Computer vision,Facial recognition system,Computer science,Edge detection,Invariant (mathematics),Artificial intelligence,Face detection,Pattern matching,Genetic algorithm,Computation | Conference |
Volume | ISSN | ISBN |
4253 | 0302-9743 | 3-540-46542-1 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephen Karungaru | 1 | 14 | 9.91 |
| Minoru Fukumi | 2 | 146 | 49.05 |
| Norio Akamatsu | 3 | 79 | 27.41 |
| Takuya Akashi | 4 | 20 | 9.57 |