A hybrid technique for face detection in color images

In this paper, a hybrid technique for face detection in color images is presented. The proposed technique combines three analysis models, namely skin detection, automatic eye localization, and appearance-based face/nonface classification. Using a robust histogram-based skin detection model, skin-like pixels are first identified in the RGB color space. Based on this, face bounding-boxes are extracted from the image. On detecting a face boundingbox, approximate positions of the candidate mouth feature points are identified using the redness property of image pixels. A region-based eye localization step, based on the detected mouth feature points, is then applied to face bounding-boxes to locate possible eye feature points in the image. Based on the distance between the detected eye feature points, face/non-face classification is performed over a normalized search area using the Bayesian Discriminating Feature (BDF) analysis method. Some subjective evaluation results are presented o...

• Type: Conference
• Year: 2005
• Where: AVSS
• Authors: Saman Hemantha Cooray, Noel E. O'Connor
• Keywords: AVSS 2005, Eye Feature Points, Feature Points, Mouth Feature Points, Signal Processing