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Geometric Digital Twinning of Industrial Facilities: Retrieval of Industrial Shapes
This paper devises, implements and benchmarks a novel shape retrieval method that can accurately match individual labelled point clusters (instances) of existing industrial facilities with their respective CAD models.
CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities
This paper devises, implements and benchmarks a novel framework, named CLOI, that can accurately generate individual labelled point clusters of the most important shapes of existing industrial facilities with minimal manual effort in a generic point-level format.
Instance Segmentation of Industrial Point Cloud Data
The challenge that this paper addresses is how to efficiently minimize the cost and manual labour for automatically generating object oriented geometric Digital Twins (gDTs) of industrial facilities, so that the benefits provide even more value compared to the initial investment to generate these models.
