3D game technology in property formation
2016 (English)In: Proc. 16th International Multidisciplinary Scientific GeoConference, 2016, Vol. 1, 539-546 p.Conference paper (Refereed)
The process of real property formation involves the analysis and assessment of legal documents and cadastral information available in digital form. Quite frequently, however, it is necessary to visit the sites to establish relevant information from the real land parcels as well as communicating with involved stakeholders in the natural environment, entailing substantial cost in terms of time and travel expenses. The objective of the work presented here is to investigate alternative, IT-based processes for property formation which draw on existing data and have the potential to substitute time- and cost-intensive field visits. More specifically, the presented study explores how 3D game-based technology can be used to facilitate virtual site visits as an alternative to physical field surveys. We approach this problem by suggesting a framework that enables interoperability of existing 3D terrain models from the national land survey as well as vector data from cadastral databases with existing gaming environments for interactive exploration. Following an analysis of the quality of the existing digital terrain data, we describe an alternative data-extraction pathway that is suitable for rendering of 3D terrain models in the game engine. We present some visual results of our 3D demo system which indicate that salient structures in the terrain relevant for assessment and establishing of property boundaries are readily accessible in the virtual environment. Results of a quantitative comparison of the tested data models also support what visual inspection suggests, that existing terrain data can be refined for use of virtual site visits for property formation.
Place, publisher, year, edition, pages
2016. Vol. 1, 539-546 p.
3D visualization, LiDAR, game engine, cadaster, property formation
Computer and Information Science
Research subject Computerized Image Processing
IdentifiersURN: urn:nbn:se:uu:diva-309546DOI: 10.5593/SGEM2016/B21/S08.068ISBN: 978-619-7105-58-2OAI: oai:DiVA.org:uu-309546DiVA: diva2:1052066
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