FACE DETECTION USING BACTERIA FORAGING

Abstract

Face detection is a challenging computer vision problem. Given a still image or an image sequence, the goal of face detection is to locate all regions that contain a face regardless of any three dimensional transformation and lighting condition. Several independent research have proposed different methods addressing the problem of face detection such as Principal Component Analysis, Linear Discriminant Analysis, Elastic Brunch Graph Matching, etc. Many approaches have been proposed using the skin color Information and shape analysis. There are two main categories that may serve as a solution for this problem: feature-based and image-based approaches. In this report, we present a detailed experimental study of face detection algorithm based on human skin color and fitting the ellipse as human face can be approximate by ellipse. Our approach for face detection requires no initial pre processing of the image. We proposed a face detection method based on Bacteria foraging, an optimization technique. A number of Bacteria agents with evolutionary behaviors are uniformly distributed in the 2-D image environment to search the skin-like pixels and locate each face-like region by evaluating the local color distribution.