计算校正立体视觉的同形词

Charles T. Loop, Zhengyou Zhang
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引用次数: 444

摘要

图像校正是将一对二维投影变换(或同形变换)应用于一对已知极坐标几何的图像,使原始图像中的极坐标线映射到转换后图像中的水平对齐线的过程。我们提出了一种基于几何上定义良好的标准的图像校正新技术,使由于校正引起的图像失真最小化。这是通过将每个单应变换分解成一个专门的投影变换,一个相似变换,然后是一个剪切变换来实现的。在每个阶段都仔细考虑了图像畸变的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computing rectifying homographies for stereo vision
Image rectification is the process of applying a pair of 2D projective transforms, or homographies, to a pair of images whose epipolar geometry is known so that epipolar lines in the original images map to horizontally aligned lines in the transformed images. We propose a novel technique for image rectification based on geometrically well defined criteria such that image distortion due to rectification is minimized. This is achieved by decomposing each homography into a specialized projective transform, a similarity transform, followed by a shearing transform. The effect of image distortion at each stage is carefully considered.
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