计算机应用研究2017，Vol.34Issue(7)：2207-2211,5.DOI:10.3969/j.issn.1001-3695.2017.07.062
利用形状估计的人脸特征点定位算法
Facial landmarks localization based on pose estimation
摘要
Abstract
To improve the localization accuracy and success rate of complex facial image which lack of shape constraint in RCPR algorithm,this paper proposed a novel part-based cascaded regression algorithm combining shape estimation.Firstly,it divided the facial landmarks into several areas and used the shape estimation as shape constraint.Secondly,in order to ensure the accuracy and continuity of the shape estimation,it learned a joint probability distribution function of image features and target shapes,known as matching function.The estimated shape of the target could be obtained by maximizing the matching function.Thirdly,to improve algorithm performance,it exerted a prior constraint of the distance between the pixels pair during sampling shape-indexed features,meanwhile it reduced the number of regressors.Experiments demonstrate that the algorithm outperforms in localization accuracy and achieves a better robustness for occlusion and complex facial image,a localization success rate of 86% is obtained and can realize real-time processing.关键词
核回归/形状估计/人脸特征点定位/采样先验/形状约束Key words
kernel regression/shape estimation/facial landmarks localization/sampling prior/shape constraint分类
信息技术与安全科学引用本文复制引用
仲柔在,熊磊,刘畅..利用形状估计的人脸特征点定位算法[J].计算机应用研究,2017,34(7):2207-2211,5.基金项目
国家自然科学基金资助项目(61379104,61372167) （61379104,61372167）
