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机构地区:[1]南京信息工程大学信息与控制学院,南京210044
出 处:《计算机科学》2014年第12期297-302,共6页Computer Science
基 金:国家自然科学基金项目(61272223);江苏省杰出青年基金(SBK201210296);模式识别国家重点实验室开放课题基金(201204234)资助
摘 要:主要研究了移动智能手机上人脸关键点的快速定位问题.在活动形状模型的基础上,提出了一种基于层进模型的快速人脸配准方法:首先,在人脸检测的结果上,采用二值特征快速定位眼角、嘴角等关键点,并对其进行校验修正;然后,通过眼角和嘴角的关键点,并结合边缘约束,对眼睛、嘴巴和人脸外轮廓进行局部配准;最后,对整个人脸形状进行基于加权投影的形状配准.实验结果表明,提出的方法在8~10次迭代后即可收敛,在三星I9300智能手机上,每幅人脸图像的配准时间在40ms以下,满足实时性要求.This paper studied the problem of fast localiztion of facial landmark on a mobile smart phone.Fast face alignment method based on hierarchical model was proposed,which is derived from active shape model.Firstly,the landmarks on the canthi and angulus oris are quickly located using binary feature based on the result of face detection.After that,calibration and correction are performed on these landmarks.Secondly,combined with edge constraint on the eyes,mouth and face outline,local alignments are performed independently based on the location of landmarks on the canthi and angulus oris.Finally,the shape of the whole face is aligned by weighted projection.Experimental results show that the proposed method will converge after 8 to 10 iterations.It takes 40ms or less to complete face alignment on a single face image on a smartphone(the Samsung I9300),which satisfies the request of real time.
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]
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