Name
Abstract | ||
|---|---|---|
In this paper, we propose multi-class classifier and knowledge based face detection. Eye region and face location is used illuminant based Bayesian detector. We propose the efficient face and eye detection system using varying illuminant context modeling and multi–classifier. The face detection system architecture use cascade method by illuminant face model. Also, we detect eye region after face detection. Proposed eye detection frame is multiple illuminant Bayesian classifiers. Because face images have varying illuminant and this is vary difficult problem in face detection. Therefore, we made in context model using face illuminant. The multiple classifiers consist of face illuminant information. Multiple Bayesian classifiers are employed for selection of face and eye detection windows on illuminant face group. Finally, face and eye regions of the detected candidates are selected by context awareness. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11785231_88 | ICAISC |
Keywords | Field | DocType |
eye detector modeling,face illuminant information,face location,face image,face illuminant,face detection,face detection system architecture,illuminant face group,illuminant face model,external environment,efficient face,eye region,bayesian classifier,system architecture,context model,knowledge base | Computer vision,Facial recognition system,Object detection,False alarm,Object-class detection,Pattern recognition,Computer science,Image processing,Context model,Artificial intelligence,Standard illuminant,Face detection | Conference |
Volume | ISSN | ISBN |
4029 | 0302-9743 | 3-540-35748-3 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mi Young Nam | 1 | 61 | 15.03 |
| Eun Jin Koh | 2 | 3 | 2.46 |
| Phill Kyu Rhee | 3 | 60 | 24.82 |