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首页> 外文期刊>IEEE Transactions on Pattern Analysis and Machine Intelligence >An investigation of methods for determining depth from focus
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An investigation of methods for determining depth from focus

机译:从焦点确定深度的方法的研究

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摘要

The concept of depth from focus involves calculating distances to points in an observed scene by modeling the effect that the camera's focal parameters have on images acquired with a small depth of field. This technique is passive and requires only a single camera. The most difficult segment of calculating depth from focus is deconvolving the defocus operator from the scene and modeling it. Most current methods for determining the defocus operator employ inverse filtering. The authors reveal some fundamental problems with inverse filtering: inaccuracies in finding the frequency domain representation, windowing effects, and border effects. A general, matrix-based method using regularization is presented, which eliminates these problems. The new method is confirmed experimentally, with the results showing an RMS error of 1.3%.
机译:从焦点开始的深度概念涉及通过对相机的聚焦参数对以小景深获取的图像进行建模的效果来计算到观察场景中点的距离。该技术是被动的,只需要一个摄像头。从焦点计算深度的最困难部分是将散焦算子从场景中解卷积并对其建模。用于确定散焦算子的大多数当前方法采用逆滤波。作者揭示了逆滤波的一些基本问题:查找频域表示形式,窗口效应和边界效应不准确。提出了一种使用正则化的基于矩阵的通用方法,该方法消除了这些问题。实验证实了该新方法,结果显示RMS误差为1.3%。

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