April 2, 2024, 7:47 p.m. | Shengze Jin (Department of Computer Science, ETH Zurich, Switzerland), Iro Armeni (Department of Civil,Environmental Engineering, Stanford University)

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00429v1 Announce Type: new
Abstract: We introduce a novel framework for multiway point cloud mosaicking (named Wednesday), designed to co-align sets of partially overlapping point clouds -- typically obtained from 3D scanners or moving RGB-D cameras -- into a unified coordinate system. At the core of our approach is ODIN, a learned pairwise registration algorithm that iteratively identifies overlaps and refines attention scores, employing a diffusion-based process for denoising pairwise correlation matrices to enhance matching accuracy. Further steps include constructing …

arxiv cloud cs.cv diffusion global optimization type

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