An Effective Method for Eye Detection Based on Texture Information

机译：一种基于纹理信息的有效人眼检测方法

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In this paper, we present a novel method for eye detection based on texture information, referred to as the eye filter. The proposed method is composed of the following four steps: automatic extraction of facial regions using AdaBoost, illumination normal

机译：在本文中，我们提出了一种新的基于纹理信息的眼睛检测方法，称为眼睛过滤器。所提出的方法包括以下四个步骤：使用AdaBoost自动提取面部区域，照度正常

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《Convergence Information Technology (ICCIT), 2007 International Conference on》|2007年|P.586-589|共4页
会议地点 Gyeongju-si GyeongbukKorea
作者
Chan Woo Park; Jeong Min Kwak; Hyun Park; Young Shik Moon;
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eye; face recognition; feature extraction; filtering theory; image texture; learning (artificial intelligence); AdaBoost; automatic facial region extraction; eye candidate estimation; eye detection method; eye filter; geometrical face information; illumination norma;

机译：眼睛;人脸识别;特征提取;过滤理论图像纹理学习（人工智能）； AdaBoost；自动面部区域提取；眼睛候选者估计；眼睛检测方法眼球过滤器几何面信息；照度范数;

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4. An Effective Method for Eye Detection Based on Texture Information [C] . Park Chan Woo, Kwak Jeong Min, Park Hyun, International Conference on Convergence Information Technology . 2007

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An Effective Method for Eye Detection Based on Texture Information

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