线阵CCD相机非匀速底盘图像的几何校正方法

Y. Cheng, Lingfei Liang, J. Pu
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引用次数: 1

摘要

提出了一种利用加速鲁棒特征(SURF)和纯相位相关(POC)对线电荷耦合器件(CCD)相机采集的车辆底盘图像进行几何校正的方法。我们使用基于SURF的特征匹配,利用有限数量的对应点来估计标准图像与实时相机图像之间的近似单应性,并使用基于POC的密集亚像素对应搜索来调整对应点的精确位置。实验结果表明,基于SURF和POC的几何校正方法可以达到较高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A geometric correction approach for chassis images with non-uniform speed by linear CCD camera
This paper proposes a geometric correction method for vehicle chassis images acquired by linear charge coupled device (CCD) camera using speeded up robust features (SURF) and phase-only correlation (POC). We use feature matching based in SURF to estimate an approximate homography between standard images and real-time camera images using a limited number of corresponding points, and dense sub-pixel correspondence search based in POC to adjust precise position of corresponding points. Experimental result shows the geometric correction method using SURF and POC can achieve high-accuracy.
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