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Author(s):
Kossat, R.
Title:
Point Cloud Completion by Deep Learning
Abstract:
Today, measuring of buildings and rooms is still undertaken with tachymeters and partly also with measuring tapes. However, in recent years the share of 3D laser scan-ners has rapidly increased, since they are more accurate, less prone to human error and faster in capturing a scene. When scanning a scene, some parts of the scene are missing due to occlusions by objects. An example of this is a cabinet standing in front of a wall. The 3D scanner then only captures a point cloud with the surface o...     »
Keywords:
LOCenter; BuiltEnvDT;
Subject:
ALL Allgemeines
Supervisor:
Borrmann, A.; Pan, Y.; Noichl,F.
Year:
2021
Year / month:
2021-07
Month:
Jul
University:
Technische Universität München
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