智能系统学报2016，Vol.11Issue(5)：578-585,8.DOI:10.11992/tis.201602006
基于嘴巴状态约束的人脸特征点定位算法
A facial feature point locating algorithm based on mouth-state constraints
摘要
Abstract
The precise locations of the feature points of the mouth critically influence applications which use feature matching, expression analysis, lip recognition and driving behavior analysis, etc. However, when estimating facial shapes using current facial landmarks detecting methods, the locating error of feature points around the mouth re⁃gion is relatively large. In order to solve this problem, two kinds of ‘mouth⁃state’ classifiers were proposed, one was based on HSV color space and the other on a convolutional neural network, with a strong shape constraint strat⁃egy focusing on the spatial relationship between local facial landmarks. Furthermore a facial feature point locating method was presented based on the mouth⁃state constraint, which constrains the predicted explicit shape regression ( ESR) result and is more accurate as regards locating facial landmarks. Compared with the original ESR algorithm, this method significantly improves the accuracy of locating landmarks for the mouth for both the Helen and LFPW datasets, and has no impact on the robustness of facial shape prediction.关键词
人脸特征点定位/ESR/嘴巴状态分类器/强形状约束/HSV颜色空间/卷积神经网络Key words
facial feature points location/ESR/mouth-state classifier/strong shape constraint/HSV color space/convolutional neural network分类
信息技术与安全科学引用本文复制引用
师亚亭,李卫军,宁欣,董肖莉,张丽萍..基于嘴巴状态约束的人脸特征点定位算法[J].智能系统学报,2016,11(5):578-585,8.基金项目
国家自然科学基金项目（61572458）． （）
