An Automated Workflow for Generating 3D Solids from Indoor Point Clouds in a Cadastral Context

Bibliographic Data

ID22032008
AuthorsZihan Chen (0009-0006-8636-1959, Centre de Géomatique du Québec), Frédéric Hubert (0000-0003-1958-5259, Centre de Géomatique du Québec), Christian Larouche (0000-0002-6288-4169, Centre de Géomatique du Québec), J Pouliot (0000-0001-7811-4129, Centre de Géomatique du Québec), Philippe Girard (0000-0001-7202-6910, Geomembrane Technologies (Canada))
Year2025
Volume14
Issue11
Pages429
Publication date2025-10-31
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi14110429
OpenAlexW4415818199
LanguageEN
References cited69

Accurate volumetric modeling of indoor spaces is essential for emerging 3D cadastral systems, yet existing workflows often rely on manual intervention or produce surface-only models, limiting precision and scalability. This study proposes and validates an integrated, largely automated workflow (named VERTICAL) that converts classified indoor point clouds into topologically consistent 3D solids served as materials for land surveyor’s cadastral analysis. The approach sequentially combines RANSAC-based plane detection, polygonal mesh reconstruction, mesh optimization stage that merges coplanar faces, repairs non-manifold edges, and regularizes boundaries and planar faces prior to CAD-based solid generation, ensuring closed and geometrically valid solids. These modules are linked through a modular prototype (called P2M) with a web-based interface and parameterized batch processing. The workflow was tested on two condominium datasets representing a range of spatial complexities, from simple orthogonal rooms to irregular interiors with multiple ceiling levels, sloped roofs, and internal columns. Qualitative evaluation ensured visual plausibility, while quantitative assessment against survey-grade reference models measured geometric fidelity. Across eight representative rooms, models meeting qualitative criteria achieved accuracies exceeding 97% for key metrics including surface area, volume, and ceiling geometry, with a height RMSE around 0.01 m. Compared with existing automated modeling solutions, the proposed workflow has the ability of dealing with complex geometries and has comparable accuracy results. These results demonstrate the workflow’s capability to produce topologically consistent solids with high geometric accuracy, supporting both boundary delineation and volume calculation. The modular, interoperable design enables integration with CAD environments, offering a practical pathway toward an automated and reliable core of 3D modeling for cadastre applications

Cadastre · Geospatial analysis · Interoperability · Level of detail · Modular design · Point cloud · Segmentation · Workflow · 3D Modeling in Geospatial Applications · 3D Surveying and Cultural Heritage · Remote Sensing and LiDAR Applications

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