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An Analysis on Out-Of Plane Face Detection among Female Student and Illumination Effects Using Sift and Surf

机译:使用筛选和冲浪的女学生和照明效果外平面脸检测分析

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摘要

This paper discusses the implementation of Scale-Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF) in order to analyse their performance. The problem of image processing which are out-of-plane image and the illumination effect' was analysed by using both techniques. The simulation of both techniques were developed in Matlab 2013a to verify the response performance of the techniques. Research was conducted in order to get the result on the SURF key point detected, the matching key point and time response of the technique performance. The results of the implementation of SURF technique showed that SURF is faster than other comparable techniques.
机译:本文讨论了规模不变特征变换(SIFT)和加速强大功能(SURF)的实现,以分析它们的性能。 通过使用两种技术分析了与平面外图像外图像和照明效果的图像处理的问题。 两种技术的仿真是在Matlab 2013A中开发的,以验证技术的响应性能。 进行了研究,以便在检测到的冲浪关键点上,对该技术性能的匹配关键点和时间响应。 冲浪技术实施的结果显示,冲浪比其他可比技术快。

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