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A method for rectifying grid junctions in grid-coded images using cross ratio

机译:一种利用交叉比校正网格编码图像中网格交点的方法

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In the grid-coding technique, the accurate grid junction locations are vital to the surface computation. Noise arising from the imaging formation and processing processes will jeopardize the computation accuracy. The objective of this study is to make use of the geometric property of cross ratio to improve the accuracy of grid junction locations in grid-coded images. A method is devised to regenerate grid junctions from the original (i.e. raw) junction data of an image. Through a statistical error analysis, we show that the regenerated junction data are generally more accurate than the old ones in the image taken from a wide range of viewing angles.
机译:在网格编码技术中,准确的网格结位置对于表面计算至关重要。成像形成和处理过程中产生的噪声将危害计算精度。这项研究的目的是利用交叉比率的几何特性来提高网格编码图像中网格结位置的准确性。设计了一种从图像的原始(即原始)结数据再生网格结的方法。通过统计误差分析,我们显示,从宽视角拍摄的图像中,再生结点数据通常比旧结点数据更准确。

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