Preparing detailed 3D building models for Google earth integration

Linh Truong-Hong, Thanh Thoa Pham Thi, Junjun Yin, James D. Carswell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Today's spatially aware users are becoming more interested in retrieving personalised and task relevant information, requiring detailed 3D city models linked to non-spatial attribute data. However, current implementations of 3D city models are typically LoD2 that don't include geometric or attribute details about many visible features (e.g. rooms) of a building. As such, value-added applications developed for web-based and wireless platforms are limited to querying for available non-spatial business data at the building level only. To overcome this, geometrically accurate 3D building models are necessary to enable users to visualize, interact, and query for task specific non-spatial business data. This paper proposes a workflow for creating detailed 3D building models with LoD3 from TLS data and uploading these models into Google Earth so that users can then explore the non-spatial business data of a building and its sub-components (e.g. windows, doors, rooms). Processing bottlenecks of the proposed workflow for detailed 3D building reconstruction are also discussed.

Original languageEnglish (US)
Title of host publicationComputational Science and Its Applications, ICCSA 2013 - 13th International Conference, Proceedings
Pages61-76
Number of pages16
EditionPART 4
DOIs
StatePublished - Aug 1 2013
Event13th International Conference on Computational Science and Its Applications, ICCSA 2013 - Ho Chi Minh City, Viet Nam
Duration: Jun 24 2013Jun 27 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume7974 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Computational Science and Its Applications, ICCSA 2013
CountryViet Nam
CityHo Chi Minh City
Period6/24/136/27/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Truong-Hong, L., Pham Thi, T. T., Yin, J., & Carswell, J. D. (2013). Preparing detailed 3D building models for Google earth integration. In Computational Science and Its Applications, ICCSA 2013 - 13th International Conference, Proceedings (PART 4 ed., pp. 61-76). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7974 LNCS, No. PART 4). https://doi.org/10.1007/978-3-642-39649-6-5