SEMANTIC SEGMENTATION OF INDOOR 3D POINT CLOUDS BY JOINT OPTIMIZATION OF GEOMETRIC FEATURES AND NEURAL NETWORKS

Yao, M. M.; Li, X. M.; Wang, W. X.; Xie, L. F.; Tang, S. J.

doi:https://doi.org/10.5194/isprs-annals-X-4-W2-2022-305-2022

Articles | Volume X-4/W2-2022

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Articles | Volume X-4/W2-2022

https://doi.org/10.5194/isprs-annals-X-4-W2-2022-305-2022

Articles | Volume X-4/W2-2022

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14 Oct 2022

| 14 Oct 2022

SEMANTIC SEGMENTATION OF INDOOR 3D POINT CLOUDS BY JOINT OPTIMIZATION OF GEOMETRIC FEATURES AND NEURAL NETWORKS

M. M. Yao, X. M. Li, W. X. Wang, L. F. Xie, and S. J. Tang

M. M. Yao

School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, China

Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China

X. M. Li

School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, China

Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China

W. X. Wang

School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, China

Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China

L. F. Xie

School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, China

Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China

S. J. Tang

School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, China

Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China

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SEMANTIC SEGMENTATION OF INDOOR 3D POINT CLOUDS BY JOINT OPTIMIZATION OF GEOMETRIC FEATURES AND NEURAL NETWORKS

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