Automated and Adaptive Geometry Preparation for AR/VR-Applications

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

Product visualization in AR/VR applications requires a largely manual process of data preparation. Previous publications focus on error-free triangulation or transformation of product structure data and display attributes for AR/VR applications. This paper focuses on the preparation of the required geometry data. In this context, a significant reduction in effort can be achieved through automation. The steps of geometry preparation are identified and examined with respect to their automation potential. In addition, possible couplings of sub-steps are discussed. Based on these explanations, a structure for the geometry preparation process is proposed. With this structured preparation process it becomes possible to consider the available computing power of the target platform during the geometry preparation. The number of objects to be rendered, the tessellation quality and the level of detail can be controlled by the automated choice of transformation parameters. We present a software tool in which partial steps of the automatic preparation are already implemented. After an analysis of the product structure of a CAD file, the transformation is executed for each component. Functions implemented so far allow, for example, the selection of assemblies and parts based on filter options, the transformation of geometries in batch mode, the removal of certain details and the creation of UV maps. Flexibility, transformation quality and time savings are described and discussed.

Details

Original languageEnglish
Title of host publicationASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Number of pages8
Volume2
ISBN (electronic)9780791885376
Publication statusPublished - 17 Nov 2021
Peer-reviewedYes

Conference

TitleASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Duration17 - 19 August 2021
LocationVirtual, Online

External IDs

Scopus 85120004493
ORCID /0000-0001-9789-2823/work/142238876

Keywords

Keywords

  • Computer-aided engineering, Data exchange, Optimization, Product development, Virtual reality, Visualization