Projection-based structural element extraction from point clouds

Marin, Diana; Reisinger, Julia; Kán, Peter; Kaufmann, Hannes

doi:10.34726/12182

Record link:

http://hdl.handle.net/20.500.12708/228343
https://doi.org/10.34726/12182

Title:

Projection-based structural element extraction from point clouds

Citation:

Marin, D., Reisinger, J., Kán, P., & Kaufmann, H. (2026). Projection-based structural element extraction from point clouds. In Proceedings of the GMP-X Conference on Geometry and Applied Mathematics (pp. 45–50). https://doi.org/10.34726/12182

reposiTUm DOI:

10.34726/12182

CatalogPlus:

AC17884632

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Marin, Diana
Reisinger, Julia
Kán, Peter
Kaufmann, Hannes

Organisational Unit:

E193-03 - Forschungsbereich Virtual and Augmented Reality
E210-01 - Forschungsbereich Integrale Planung und Industriebau
E057-16 - Fachbereich Center for Geometry and Computational Design
E056-02 - Fachbereich Computational Design (DC:CD)

Published in:

Proceedings of the GMP-X Conference on Geometry and Applied Mathematics

Date (published):

2026

Event name:

GMP-X Conference on Geometry and Applied Mathematics

Event date:

10-Apr-2026 - 11-Apr-2026

Event place:

Marrakech, Morocco

Number of Pages:

Peer reviewed:

Yes

Keywords:

point clouds; structural elements; scan-to-FEM; industrial buildings; structural analysis of building elements; clustering; sphere of influence graph

Abstract:

Extracting structural elements from building-scale point clouds is essential for structural assessment, yet remains difficult in industrial environments due to clutter, occlusions, varying density, and missing faces. We propose a fast extraction pipeline that identifies axis-aligned structural elements through orthogonal projections and 2D histograms, and groups peaks into structural candidates via graph-based clustering. The key parameters operate on an explicit histogram representation, making threshold selection visually interpretable for rapid expert iteration. Our method enables rapid conversion of cluttered scans into simulation-oriented structural primitives suitable for downstream structural analysis workflows.

Project title:

RE:STOCK INDUSTRY - Digitaler Framework zur kreislauforientierten Wiederverwendung von Bestandstragwerken für vertikale Produktionen: 907638 (FFG - Österr. Forschungsförderungs- gesellschaft mbH)

Research Areas:

Mathematical and Algorithmic Foundations: 100%

Science Branch:

1020 - Informatik: 90%
1010 - Mathematik: 10%

License:

CC BY-NC-ND 4.0