重庆理工大学学报：自然科学2012，Vol.26Issue(3)：104-108,5.
基于支持向量机的无穷维AdaBoost算法在人脸检测中的应用
Support Vector Machine Based Infinite-dimensional Ada Boost Algorithm in Face Detection
摘要
Abstract
Face detection is a basic and important research subject in the machine vision and pattern recognition, which has important application value in image, video retrieval, video monitoring, automatic face recognition and intelligent human-machine interaction etc. After long-term development, face detection method has made remarkable achievements, and is widely used in many of the research method. Based on support vector machine, a new kernel function was built, which contains infinite weak classifiers of AdaBoost algorithm, and those weak classifiers finally formed a strong classifier. The experimental results show that face detection rate based on this method is better than the limited AdaBoost algorithm, which improved the detection accuracy.关键词
人脸检测/AdaBoost算法/分类器/支持向量机/模式识别Key words
face detection/AdaBoost algorithm/classifiers/support vector machine/pattern recog-nition分类
信息技术与安全科学引用本文复制引用
李思琳,邵玉斌..基于支持向量机的无穷维AdaBoost算法在人脸检测中的应用[J].重庆理工大学学报：自然科学,2012,26(3):104-108,5.基金项目
云南省科技厅基金资助项目 （）
