Name
Abstract | ||
|---|---|---|
We propose a method of multiple context fusion based robust face detection scheme, multiple cascade and finally decision using correlation table. It takes advantage of multiple cascade face detector fusion by context. We propose the filtering classifier method for illumination face image. And then we constructed cascade classifier from applied different filtering method. The multiple cascade detectors made from six single context detectors. Six contexts are divided k-means algorithm, and classify illuminant. In this paper, we proposed the classifier fusion method by using correlation between face images. The proposed face detection achieves the capacity of the high level attentive process by taking advantage of the context-awareness using the information from illumination. We achieved very encouraging experimental results having varying illuminant. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11881599_161 | FSKD |
Keywords | Field | DocType |
classifier method,multiple cascade face detector,face image,proposed face detection,multiple cascade detector,robust face detection scheme,illumination face image,external environment,multiple cascade,multiple detector,cascade classifier,classifier fusion method,k means algorithm,face detection | k-means clustering,Facial recognition system,Computer vision,Pattern recognition,Computer science,Cascading classifiers,Image processing,Sensor fusion,Artificial intelligence,Cascade,Face detection,Classifier (linguistics) | Conference |
Volume | ISSN | ISBN |
4223 | 0302-9743 | 3-540-45916-2 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mi Young Nam | 1 | 61 | 15.03 |
| Phill Kyu Rhee | 2 | 60 | 24.82 |