Name
Abstract | ||
|---|---|---|
The face images are varying environment database from external illumination. Therefore we propose parallel cascade face detector. We define context image illumination and distinguish context using unsupervised learning. Many unsupervised method is available to distinguish varying illuminant images. This approach can be distribution face image and we can make the classifier for face image context. Therefore, in this paper, we parallel classifier that is strutted cascade classifier of two methods. In first classifier, we use sub-sampling feature extraction and in second classifier we use wavelet transformation method. We achieved very encouraging experimental results. Our method is enhancement varying illumination environment. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11816157_124 | ICIC (1) |
Keywords | DocType | Volume |
parallel cascade face detector,face image,context-based cascade classifier,external illumination,context image illumination,distribution face image,parallel classifier,object detection,unsupervised method,strutted cascade classifier,illumination environment,face image context,feature extraction,wavelet transform,unsupervised learning | Conference | 4113 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-37271-7 | 0 |
PageRank | References | Authors |
0.34 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mi Young Nam | 1 | 61 | 15.03 |
| Phill Kyu Rhee | 2 | 60 | 24.82 |