Face Detection Based on Gabor Wavelets
Jun Hai Guo · Jisuanji gongcheng · 2006
A novel method for frontal face detection is presented.The novelty of this paper comes from the integration of the Gabor transform of mean face,face feature analysis of the input image,and the Bayes classifier for frontal face detection.40 projection vectors are got from Gabor transform of mean face.Face feature analysis is derived from a feature vector by calculating the inner products between the input image and the 40 projection vectors.The Bayes classifier is trained to detect frontal face in an image.The experimental results show that the proposed method has lower computational complexity and higher accuracy than Eigenfaces method.