姿态抖动对特征检测性能的影响分析

2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Pub Date : 2017-10-01 DOI:10.1109/AIPR.2017.8457963

H. Sharif, Borja Martinez Calvo, Christian Pfaab

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引用次数: 0

摘要

本研究探索了一种视觉算法在激振器测试中的表现，以帮助再现航天器反作用轮引起的振动效果。在本文中，我们分析了特征检测技术的鲁棒性，通过提交热成像和可见光成像相机的正弦振动，因为他们同时执行目标的特征检测。

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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Analysis of Attitude Jitter on the Performance of Feature Detection

This study explored a vision algorithm's performance during a shaker test to help reproduce the effects of vibration caused by the reaction wheels of a spacecraft. In this paper, we analyze the robustness of the feature detection technique by submitting the thermal and visible imaging cameras to sinusoidal vibrations as they simultaneously execute feature detection of the target.

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2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)

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