Noise in 3D laser range scanner data

Xianfang Sun, Paul L. Rosin, Ralph Robert Martin, F. Langbein
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引用次数: 36

Abstract

This paper discusses noise in range data measured by a Konica Minolta Vivid 910 scanner. Previous papers considering denoising 3D mesh data have often used artificial data comprising Gaussian noise, which is independently distributed at each mesh point. Measurements of an accurately machined, almost planar test surface indicate that real scanner data does not have such properties. An initial characterisation of real scanner noise for this test surface shows that the errors are not quite Gaussian, and more importantly, exhibit significant short range correlation. This analysis yields a simple model for generating noise with similar characteristics. We also examine the effect of two typical mesh denoising algorithms on the real noise present in the test data. The results show that new denoising algorithms are required to effectively remove real scanner noise.
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三维激光测距仪数据中的噪声
本文讨论了柯尼卡美能达Vivid 910扫描仪测量的距离数据中的噪声问题。以往考虑三维网格数据去噪的论文通常使用包含高斯噪声的人工数据,高斯噪声独立分布在每个网格点上。对精确加工的几乎是平面的测试表面的测量表明,真实的扫描仪数据不具有这种特性。对该测试表面的真实扫描仪噪声的初步表征表明,误差不是完全高斯的,更重要的是,表现出显著的短距离相关性。这种分析产生了一个简单的模型,用于产生具有相似特征的噪声。我们还研究了两种典型的网格去噪算法对测试数据中存在的真实噪声的影响。结果表明,为了有效去除真实扫描仪噪声,需要新的去噪算法。
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