A benchmark for point clouds registration algorithms

机译：点云注册算法的基准

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Simone Fontana; Daniele Cattaneo; Augusto L. Ballardini; Matteo Vaghi; Domenico G. Sorrenti;
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1. Improved Iterative Closest Point(ICP) 3D point cloud registration algorithm based on point cloud filtering and adaptive fireworks for coarse registration [J] . Shi Xiaojing, Liu Tao, Han Xie International journal of remote sensing . 2020,第7a8期

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2. Benchmarking of five commercial deformable image registration algorithms for head and neck patients [J] . Pukala Jason, Johnson Perry B., Shah Amish P., Journal of applied clinical medical physics / . 2016,第3期

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3. Registration method for three-dimensional point cloud in rough and fine registrations based on principal component analysis and iterative closest point algorithm [J] . Heqiang Tian, Xiaoqing Dang, Jihu Wang, Traitement du Signal; Signal-Image-Parole . 2017,第1a2期

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4. Automatic registration of multi-view 3D laser point cloud based on Image Registration and Ameliorated ICP Algorithm [C] . ZHAO Ziming, HAO Xiangyang, ZHAO Song, International symposium on photoelectronic detection and imaging;ISPDI 2011 . 2012

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5. Research on Registration Algorithm of Point Cloud with Small Overlap [D] . SUN, Lu 2019

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7. Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud [O] . Di Tommaso, Paolo, Orobitg, Miquel, Guirado, Fernando, 2010

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8. Efficient Algorithms for Mixed Aleatory-Epistemic Uncertainty Quantification with Application to Radiation-Hardened Electronics. Part I: Algorithms and Benchmark Results [R] . 2009

机译：混合激励 - 认识不确定性量化的有效算法及其在辐射强化电子学中的应用。第一部分：算法和基准测试结果

A benchmark for point clouds registration algorithms

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