一种基于三维人脸信息的姿态自适应人眼检测方法

2014 International Conference on Electronics, Information and Communications (ICEIC) Pub Date : 2014-10-02 DOI:10.1109/ELINFOCOM.2014.6914360

Hyunjun Kim, J. Kim, Jaihie Kim

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引用次数: 2

摘要

提出了一种对头部姿态变化具有鲁棒性的眼睛检测算法。首先，采用Viola-Jones算法检测人脸区域。其次，利用三维平均人脸模型生成窗口模板，检测人眼对姿态变化的鲁棒性;最后利用该窗口模板对眼睛进行检测和定位。实验中，在CAS-PEAL数据库上对该方法进行了验证。

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A pose adaptive eye detection method using 3D face information

This paper proposes an eye detection algorithm robust to head pose variation. First, face region is detected by Viola-Jones algorithm. Second, in order to detect eye robust to pose variation, a window template is generated from the 3D mean face model. Finally, eye is detected and localized by using this window template. In the experiments, the proposed method is tested on CAS-PEAL database.

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来源期刊

2014 International Conference on Electronics, Information and Communications (ICEIC)

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