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Author(s):
Du, C. 
Title:
Enhancing 3D Point Cloud Semantic Segmentation Using Multi-Modal Fusion With 2D Images 
Abstract:
Deep learning algorithms can identify valid semantic information from the original 3D point cloud that can be used to create BIM models of the built environment. This is an important step in generating the digital twin of a building. Compared with traditional unimodal deep learning algorithms that directly process 3D point clouds, multimodal fusion algorithms that leverage 2D images as supplementary information for 3D scenes have greater performance advantages. In this study, the performance of...    »
 
Subject:
ALL Allgemeines 
Supervisor:
Vega, M. 
Year:
2021 
Year / month:
2021-09 
Month:
Sep 
University:
Technische Universität München