dc.contributor.author | Saber, Eli | |
dc.contributor.author | Tekalp, A. Murat | |
dc.date.accessioned | 2009-06-17T19:12:50Z | |
dc.date.available | 2009-06-17T19:12:50Z | |
dc.date.issued | 1998 | |
dc.identifier.issn | 0167-8655 | |
dc.identifier.uri | http://hdl.handle.net/1850/9865 | |
dc.description | RIT community members may access full-text via RIT Libraries licensed databases: http://library.rit.edu/databases/ | |
dc.description.abstract | We describe an algorithm for detecting human faces and facial features, such as the location of the eyes, nose and mouth.
First, a supervised pixel-based color classifier is employed to mark all pixels that are within a prespecified distance of ‘‘skin
color’’, which is computed from a training set of skin patches. This color-classification map is then smoothed by Gibbs
random field model-based filters to define skin regions. An ellipse model is fit to each disjoint skin region. Finally, we
introduce symmetry-based cost functions to search the center of the eyes, tip of nose, and center of mouth within ellipses
whose aspect ratio is similar to that of a face. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Elsveier - Pattern Recognition Letters | en_US |
dc.relation.ispartofseries | Vol. 19 | en_US |
dc.relation.ispartofseries | No. 8 | en_US |
dc.subject | Face detection | en_US |
dc.subject | Facial feature detection | en_US |
dc.subject | Gibbs random fields | en_US |
dc.subject | Image segmentation | en_US |
dc.subject | Shape classification | en_US |
dc.title | Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions | en_US |
dc.type | Article | en_US |
dc.identifier.url | http://dx.doi.org/10.1016/S0167-8655(98)00044-0 | |