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Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism. (arXiv:2205.02996v2 [cs.CV] UPDATED)
Aug. 24, 2022, 1:15 a.m. | Yue Wu, Yibo Liu, Maoguo Gong, Peiran Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma
cs.CV updates on arXiv.org arxiv.org
Multi-view point cloud registration is fundamental in 3D reconstruction.
Since there are close connections between point clouds captured from different
viewpoints, registration performance can be enhanced if these connections be
harnessed properly. Therefore, this paper models the registration problem as
multi-task optimization, and proposes a novel bi-channel knowledge sharing
mechanism for effective and efficient problem solving. The modeling of
multi-view point cloud registration as multi-task optimization are twofold. By
simultaneously considering the local accuracy of two point clouds as well …
More from arxiv.org / cs.CV updates on arXiv.org
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