Web: http://arxiv.org/abs/2201.12094

Jan. 31, 2022, 2:10 a.m. | Lifa Zhu, Haining Guan, Changwei Lin, Renmin Han

cs.CV updates on arXiv.org arxiv.org

The distinguishing geometric features determine the success of point cloud
registration. However, most point clouds are partially overlapping, corrupted
by noise, and comprised of indistinguishable surfaces, which makes it a
challenge to extract discriminative features. Here, we propose the
Neighborhood-aware Geometric Encoding Network (NgeNet) for accurate point cloud
registration. NgeNet utilizes a geometric guided encoding module to take
geometric characteristics into consideration, a multi-scale architecture to
focus on the semantically rich regions in different scales, and a consistent
voting strategy …

arxiv cloud cv network

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