Face Detection Based on Skin Color and Adaboost Algorithm

Abstract

The problem of multiple face detection and missed detection caused by illumination and complex background is avoided. A multi face detection algorithm based on skin color and Adaboost algorithm is proposed. The first chapter of this article is to apply the CbCrCg space based on the least squares of the skin color clustering model as the pretreatment process of face detection, And then you need to go further and take the area as an input image and you go through the Adaboost cascade classifier for face detection, To further remove non-face areas in the skin area, Finally, a more accurate face orientation is achieved.