Profile face detection based on statistical learning
Xinliang Ge · Computer Engineering and Applications Journal · 2007
Propose a new profile face detection algorithm using clustering algorithm.First,we decompose the face into several planes and learn classifiers respectively.Second,we employ a new AdaBoost training procedure,and then use the clustering algorithm based on sample density to combine face detection results successfully.This algorithm we proposed can also detect ears with high detection rate.Experiments show that this algorithm is a general object detection algorithm,it can achieve 93.26% detection rate(false negative rate is 6.74%) on 282 profile face images,and it can reach the 91.9% detection rate(false positive rate is 6.1%) on 1 000 ear images.