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基于支持向量机的无穷维AdaBoost算法在人脸检测中的应用 被引量:1

Support Vector Machine Based Infinite-dimensional Ada Boost Algorithm in Face Detection
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摘要 用支持向量机建立新的核函数,使得该函数集集成无穷多个AdaBoost算法的弱分类器,最终形成强分类器。应用该强分类器进行人脸检测。实验结果表明,该方法的人脸检测率优于有限维AdaBoost算法,提高了检测精度。 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.
出处 《重庆理工大学学报(自然科学)》 CAS 2012年第3期104-108,共5页 Journal of Chongqing University of Technology:Natural Science
基金 云南省科技厅基金资助项目(2009CA027)
关键词 人脸检测 ADABOOST算法 分类器 支持向量机 模式识别 face detection AdaBoost algorithm classifiers support vector machine pattern recog-nition
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