Face Detection Using the Modified CT and SVM Classifier
This paper proposes a face detection approach,which utilizes the modified Census transform,histogram intersection kernel (HIK) support vector machine (SVM) classifier and a simplified Haar method.Compared with the face detection methods of Haar + Adboost and LBP + Adboost,the proposed appraoch can improve the detection accuracy by reducing the false positive and false negative detection.Moreover,the proposed technique shows illumination invariance.In addition,the omit of the Sobel transform in this appraoch improves the detection speed without compromising the detection accuracy.
Face detection Census transform Sobel transform HIK SVM Haar method
Jing-Sen ZHANG Xing QIN Xing ZHENG
Key Laboratory of RF Circuits and Systems of Ministry of Education,Hangzhou Dianzi University,Hangzhou,310018,China
国内会议
杭州
英文
1-6
2014-10-18(万方平台首次上网日期,不代表论文的发表时间)