Name
Abstract | ||
|---|---|---|
We propose a model based approach for the problem of face localization. Traditionally, images are represented in the RGB color space, which is a 3-dimensional space that includes the illumination factor. However, the human skin color of different ethnic groups has been shown to change because of brightness. We therefore propose to transform the RGB images into the HSV color-space. We then exclude the V component, and use the HS-domain to represent skin pixels using a Gaussian probability model. The model is used to obtain a skin likelihood image which is further transformed into a binary image using the fuzzy C-mean clustering (FCM) technique. The candidate skin regions are checked for some facial properties and finally a template face matching approach is used to localize the face.. The developed algorithm is found robust and reliable under various imaging conditions and even in the presence of structural objects like hairs, spectacles, etc. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74607-2_34 | ACIVS |
Keywords | Field | DocType |
3 dimensional,binary image,ethnic group,hsv color space,color space | Computer vision,HSL and HSV,Color histogram,Pattern recognition,Computer science,RGB color space,Binary image,Artificial intelligence,RGB color model,Pixel,Face detection,Mixture model | Conference |
Volume | ISSN | ISBN |
4678 | 0302-9743 | 3-540-74606-4 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Deriche | 1 | 314 | 39.97 |
| Imran Naseem | 2 | 142 | 13.51 |