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Face detection in image with complex background

机译:在图象的面孔检测有复杂的背景

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This paper deals with an approach to detect face from image with complex background. That can be use in many areas (eg. security systems, biometrics, telecommunications, etc.).In the first part there is presented brief overview of common used method for face localization in image. On the basis of comparison of its properties there was developed appropriate combination of several methods with particular improvements. The goal was to find suitable accuracy to speed rate. Methods were implemented in MATLAB and accuracy rate was tested on Georgia Tech face database.
机译:本文涉及一种从复杂背景中检测面部的方法。可以在许多领域使用(例如,安全系统,生物识别,电信等)。在第一部分中,介绍了图像中脸部本地化的常用方法的简要概述。在比较其性质的比较的基础上,有几种方法的适当组合具有特定的改进。目标是找到适当的速度准确性。方法在MATLAB实施,精度率在佐治亚理工组织数据库上进行了测试。

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