关键词: 统计学习, 侧面人脸检测, 耳朵检测, 聚类算法

Abstract: 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 could also detect ears with high detection rate. Experiments show that this algorithm is a general object detection algorithm, it could achieve 93.26% detection rate (false negative rate is 6.74%) on 282 profile face images, and it could reach the 91.9% detection rate (false positive rate is 6.1%) on 1000 ear images.

Key words: Statistical Learning, Profile Face Detection, Ear Detection, Clustering Algorithm