Three-Dimensional Instance Segmentation of Rooms in Indoor Building Point Clouds Using Mask3D

While most recent work in room instance segmentation relies on orthographic top-down projections of 3D point clouds to 2D density maps, leading to information loss of one dimension, 3D instance segmentation methods based on deep learning were rarely considered. We explore the potential of the genera...

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Bibliographic Details
Main Authors: Michael Brunklaus, Maximilian Kellner, Alexander Reiterer
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/17/7/1124
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