Robust partial-to-partial point cloud registration in a full range
Registration of 3D objects from point clouds is a challenging task due to sparse and noisy measurements, incomplete observations, and large transformations. In this work, we propose the Graph Matching Consensus Network (GMCNet) to estimate faithful correspondences for full-range Partial-to-Partial p...
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Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/177987 |
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Institution: | Nanyang Technological University |
Language: | English |