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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Focus model for metric depth estimation in standard plenoptic cameras
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Focus model for metric depth estimation in standard plenoptic cameras

机译:用于标准全光摄像机的度量深度估计的聚焦模型

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摘要

In recent years, a lot of efforts have been devoted to the problem of depth estimation from lightfield images captured by standard plenoptic cameras. However, most of the metric depth estimation methods in the state-of-the-art leverage pixel disparity only. In this paper, we tackle the problem of focus-based metric depth estimation in standard plenoptic cameras. For this purpose we propose a closed-form model that relates the refocusing parameter with the focus distance of a plenoptic camera in order to allow for metric depth estimation. Based on the proposed model, we develop a calibration procedure that allows finding the parameters of the model. Using measurements of a time-of-flight sensor as ground-truth, experimental validation in a distance range of 0.2-1.6 m shows that focus-based depth estimation is feasible with a root-mean-squared error of less than 5 cm.
机译:近年来,已经对基于标准全光摄像机捕获的光场图像的深度估计问题做出了很多努力。然而,现有技术中的大多数度量深度估计方法仅利用像素视差。在本文中,我们解决了标准全光摄像机中基于焦点的度量深度估计问题。为此,我们提出了一种封闭形式的模型,该模型将重聚焦参数与全光相机的焦距相关联,以便进行度量深度估计。基于提出的模型,我们开发了一个校准过程,可以查找模型的参数。使用飞行时间传感器的测量值作为地面真相,在0.2-1.6 m的距离范围内进行的实验验证表明,基于焦点的深度估计是可行的,并且均方根误差小于5 cm。

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