摘要
人脸检测在许多应用中有着很重要的作用,精确定位人脸特征点是人脸识别的重要步骤之一。本文改进标准的ASM算法,将ASM算法的单一局部模板扩展为多模板进行匹配,根据人眼和嘴巴的不同表情状态建立局部模板,在匹配过程中选择对应的模板相应地进行匹配搜索,并结合标准ASM算法的全局模板进行特征点定位。实验结果表明,改进的多模板ASM算法较标准ASM算法有很大的提高,效果显著,并能很好地应用在人脸识别算法中。
Face Detection plays a very important role in many applications, and precise localization of facial feature points is one of the important steps in face recognition. A improved method is proposed by expanding from single partial template to multi-tem- plate, and setting the local template according to human eyes and mouth. In the matching process, the corresponding template is selected to search for the matching template combined with the global template to locate the feature points. Experimental results show that the improved multi-template ASM algorithm has been greatly improved than the standard ASM algorithm, and the effect is significant and can be well applied in face recognition algorithm.
出处
《计算机与现代化》
2013年第10期38-41,共4页
Computer and Modernization
基金
国家自然科学基金资助项目(61175004)
北京市自然科学基金资助项目(4112009)
北京市教委科技发展重点项目(KZ01210005007)
高等学校博士学科点专项科研基金资助项目(20121103110029)
关键词
主动形状模型
多模板
人脸检测
人脸识别
ASM （active shape model）
multi-template
face detection
face recognition
