Scene Understanding and 3D Imagination: A Comparison between Machine Learning and Human Cognition

Michael Schoosleitner, Torsten Ullrich

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Spatial perception and three-dimensional imagination are important characteristics for many construction tasks in civil engineering. In order to support people in these tasks, worldwide research is being carried out on assistance systems based on machine learning and augmented reality. In this paper, we examine the machine learning component and compare it to human performance. The test scenario is to recognize a partly-assembled model, identify its current status, i.e. the current instruction step, and to return the next step. Thus, we created a database of 2D images containing the complete set of instruction steps of the corresponding 3D model. Afterwards, we trained the deep neural network RotationNet with these images. Usually, the machine learning approaches are compared to each other; our contribution evaluates the machine learning results with human performance tested in a survey: in a clean-room setting the survey and RotationNet results are comparable and neither is significa ntly better. The real-world results show that the machine learning approaches need further improvements
Originalspracheenglisch
TitelProceedings of the International Joint Conference on Computer Vision and Computer Graphics Theory and Applications
Redakteure/-innenManuela Chessa, Alexis Paljic, Jose Braz
Herausgeber (Verlag)SciTePress
Seiten231-238
Seitenumfang8
Band2, HUCAPP
ISBN (elektronisch)978-989-758-402-2
DOIs
PublikationsstatusVeröffentlicht - 2020
Veranstaltung16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISIGRAPP 2021 - Virtuell, Österreich
Dauer: 8 Feb 202110 Feb 2021

Publikationsreihe

NameVISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Band2

Konferenz

Konferenz16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Land/GebietÖsterreich
OrtVirtuell
Zeitraum8/02/2110/02/21

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