Evaluation of the robustness of planar-patches based 3D-registration using marker-based ground-truth in an outdoor urban scenario

K. Pathak, D. Borrmann, J. Elseberg, N. Vaskevicius, A. Birk, A. Nüchter
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引用次数: 23

Abstract

The recently introduced Minimum Uncertainty Maximum Consensus (MUMC) algorithm for 3D scene registration using planar-patches is tested in a large outdoor urban setting without any prior motion estimate whatsoever. With the aid of a new overlap metric based on unmatched patches, the algorithm is shown to work successfully in most cases. The absolute accuracy of its computed result is corroborated for the first time by ground-truth obtained using reflective markers. There were a couple of unsuccessful scan-pairs. These are analyzed for the reason of failure by formulating two kinds of overlap metrics: one based on the actual overlapping surface-area and another based on the extent of agreement of range-image pixels. We conclude that neither metric in isolation is able to predict all failures, but that both taken together are able to predict the difficulty level of a scan-pair vis-à-vis registration by MUMC.
户外城市场景下基于标记的三维配准鲁棒性评估
最近引入的最小不确定性最大共识(MUMC)算法用于3D场景配准使用平面补丁在大型室外城市环境中进行了测试,没有任何事先的运动估计。利用一种新的基于不匹配补丁的重叠度量,该算法在大多数情况下都是成功的。利用反射标记获得的地面真值首次证实了其计算结果的绝对准确性。有几对扫描不成功。通过建立基于实际重叠面积的重叠度量和基于距离图像像素的一致程度的重叠度量,分析了失效的原因。我们得出的结论是,单独的两个指标都不能预测所有的故障,但两者结合起来能够预测通过MUMC对-à-vis注册的扫描对的困难程度。
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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