Multi-angle Face Detection Based on New Haar-like Feature
Yongxia Zhou · Jisuanji gongcheng · 2009
This paper adds some new detection features on the basis of Haar-like feature,gives the feature calculation method and integration method,and achieves multi-angle face detection.It divides multi-angle face into three categories: all side face,half side face and positive face.Continuous Adaboost algorithm is used to train various types of face detector.It cascades various types of face detectors into a multi-angle face detector by using pyramid-style structure.In CMU face detection aggregation,the success rate of this detector is 85.2% which is higher than that of Adaboost algorithm and float Adaboost algorithm.