June 6, 2024, 4:49 a.m. | Yibo Liu, Jinjun Shan, Amaldev Haridevan, Shuo Zhang, Kejian Lin

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.03298v1 Announce Type: new
Abstract: Point cloud registration is a prerequisite for many applications in computer vision and robotics. Most existing methods focus on pairwise registration of two point clouds with high overlap. Although there have been some methods for low overlap cases, they struggle in degraded scenarios. This paper introduces a novel framework named L-PR, designed to register unordered low overlap multiview point clouds leveraging LiDAR fiducial markers. We refer to them as LiDAR fiducial markers, but they are …

arxiv cloud cs.cv cs.ro lidar low registration type

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