Face Detection and Retrieval
Ai Hai · Chinese Journal of Computers · 2003
In this paper, the problem of face retrieval is discussed in which faces are treated as a particular type of content in images. A high speed accurate face localization system is implemented for large scale image database with complex background, in which the cascade classifier based on Adaboost statistical learning method is used for face detection and a non linear SVM classifier is used as a face verifier. For face normalization, a new feature detection and calibration method based on Direct Appearance Model is developed, which is very adaptive and robust. Then face retrieval is implemented based on SVM classifier. Finally experiment results are given to demonstrate the effectiveness of the above method.