用于红外摄像机几何定标的编码棋盘目标迭代特征检测

IF 0.8 Q4 INSTRUMENTS & INSTRUMENTATION

Journal of Sensors and Sensor Systems Pub Date : 2021-01-01 DOI:10.5194/jsss-10-207-2021

S. Schramm, J. Ebert, J. Rangel, R. Schmoll, A. Kroll

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引用次数: 1

摘要

摘要当图像不失真、需要几何图像信息或需要融合多台相机的数据时，就需要对相机进行几何校准。这个过程通常使用一个具有棋盘或圆形图案和给定几何形状的目标来完成。本文提出了一种用于热像仪的编码棋盘目标，并给出了相应的迭代特征检测图像处理算法。结果表明，由于在图像边界处得到了更好的特征可检测性，因此在估计畸变参数时实现了更低的不确定性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras

Abstract. The geometric calibration of cameras becomes necessary when images should be undistorted, geometric image information is needed or data from more than one camera have to be fused. This process is often done using a target with a checkerboard or circular pattern and a given geometry. In this work, a coded checkerboard target for thermal imaging cameras and the corresponding image processing algorithm for iterative feature detection are presented. It is shown that, due in particular to the resulting better feature detectability at image borders, lower uncertainties in the estimation of the distortion parameters are achieved.

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来源期刊

Journal of Sensors and Sensor Systems INSTRUMENTS & INSTRUMENTATION-

CiteScore

2.30

自引率

10.00%

发文量

审稿时长

23 weeks

期刊介绍： Journal of Sensors and Sensor Systems (JSSS) is an international open-access journal dedicated to science, application, and advancement of sensors and sensors as part of measurement systems. The emphasis is on sensor principles and phenomena, measuring systems, sensor technologies, and applications. The goal of JSSS is to provide a platform for scientists and professionals in academia – as well as for developers, engineers, and users – to discuss new developments and advancements in sensors and sensor systems.