Name
Abstract | ||
|---|---|---|
This paper proposes a novel face representation and recognition method based on local Gabor textons. Textons, defined as a vocabulary of local characteristic features, are a good description of the perceptually distinguishable micro-structures on objects. In this paper, we incorporate the advantages of Gabor feature and textons strategy together to form Gabor textons. And for the specificity of face images, we propose local Gabor textons (LGT) to portray faces more precisely and eficiently. The local Gabor textons histogram sequence is then utilized for face representation and a weighted histogram sequence matching mechanism is introduced for face recognition. Preliminary experiments on FERET database show promising results of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74549-5_6 | ICB |
Keywords | Field | DocType |
local characteristic feature,face image,gabor feature,face recognition,novel face representation,local gabor textons,textons strategy,face representation,local gabor,gabor textons | Histogram,Computer vision,Facial recognition system,Sequence matching,Pattern recognition,Computer science,Artificial intelligence,FERET database,Vocabulary | Conference |
Volume | ISSN | ISBN |
4642 | 0302-9743 | 3-540-74548-3 |
Citations | PageRank | References |
35 | 1.16 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Lei | 1 | 3613 | 157.95 |
| Stan Z. Li | 2 | 8951 | 535.26 |
| Rufeng Chu | 3 | 560 | 27.44 |
| Xiangxin Zhu | 4 | 403 | 27.64 |