基于SVM的人脸检测研究

支持向量机（SVM）是在统计学习理论基础上发展起来的一种新的机器学习算法。依据SVM良好识别和泛化能力,实现了一种基于支持向量机的图像人脸识别方法。利用Opencv提取样本类的低层特征,训练具有径向基核函数的SVM分类器,在VS2008和Qt平台下实现识别软件开发。运行结果表明,软件具有良好的图像人脸检测能力。

Research on Human Face Detection Based on SVM

Support Vector Machine(SVM) is a new machine learning algorithms in the field of statistical learning theory.According to its good identifying and generalization ability,to implement an image face recognition method based on Support Vector Machine.first to extract low-level features of samples Using Opencv,then train SVM classifier with RBF kernel,achieve recognition software development in VS2008 and Qt platform.Result show that the software has the ability to accurately detect human face in image.