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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Analysis of focus measure operators for shape-from-focus
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Analysis of focus measure operators for shape-from-focus

机译:从焦点到形状的焦点度量运算符分析

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摘要

Shape-from-focus (SFF) has widely been studied in computer vision as a passive depth recovery and 3D reconstruction method. One of the main stages in SFF is the computation of the focus level for every pixel of an image by means of a focus measure operator. In this work, a methodology to compare the performance of different focus measure operators for shape-from-focus is presented and applied. The selected operators have been chosen from an extensive review of the state-of-the-art. The performance of the different operators has been assessed through experiments carried out under different conditions, such as image noise level, contrast, saturation and window size. Such performance is discussed in terms of the working principles of the analyzed operators.
机译:聚焦形状(SFF)在计算机视觉中已被广泛研究为被动深度恢复和3D重建方法。 SFF的主要阶段之一是借助聚焦测量算子为图像的每个像素计算聚焦水平。在这项工作中,提出并应用了一种方法,该方法可以比较不同焦点度量运算符的从焦点到形状的性能。选定的运营商是从对最新技术的广泛回顾中选择的。通过在不同条件下(例如图像噪声水平,对比度,饱和度和窗口大小)进行的实验评估了不同操作员的性能。根据所分析操作员的工作原理来讨论这种性能。

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