Real-time Face Alignment Enhancement by Tracking

被引：0
|
作者：
Tang, Fanyang [1 ]
Zhang, Jianhua [1 ]
Feng, Yujian [1 ]
Guan, Qiu [1 ]
Zhou, Xiaolong [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Comp Sci, Hangzhou, Zhejiang, Peoples R China
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO) | 2016年
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
Face alignment is one of the most popular research areas in computer vision. It can be used in many fields, such as foundation of 3D-model of a face, face swap, face recognition. But most methods proposed were based on single images. In this paper, several strategies are proposed to enhance the performance of face alignment in videos. Through these strategies, three improvements have been achieved, including feature points stability, alignment of rolling face and the certainty of the detected face. To evaluate the proposed strategies, extensive experiments have been carried out and the results show that our strategies are effective.
引用
收藏
页码：1011 / 1016
页数：6
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