A Method of Mesh Simplification for Drone 3D Modeling with Architectural Feature Extraction

Chi Li Cheng*, June-Hao Hou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper proposes a method of mesh simplification for 3D terrain or city models generated photogrammetrically from drone captured images, enabled by the ability of extracting the architectural features. Compare to traditional geometric computational method, the proposed method recognizes and processes the features from the architectural perspectives. In addition, the workflow also allows exporting the simplified models and geometric features to open platforms, e.g. OpenStreetMap, for practical usages in site analysis, city generation, and contributing to the open data communities.

Original languageEnglish
Title of host publicationComputer-Aided Architectural Design. “Hello, Culture” - 18th International Conference, CAAD Futures 2019, Selected Papers
EditorsJi-Hyun Lee
PublisherSpringer Verlag
Pages157-167
Number of pages11
ISBN (Print)9789811384097
DOIs
StatePublished - 26 Jun 2019
Event18th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2019 - Daejeon, Korea, Republic of
Duration: 26 Jun 201928 Jun 2019

Publication series

NameCommunications in Computer and Information Science
Volume1028
ISSN (Print)1865-0929

Conference

Conference18th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2019
Country/TerritoryKorea, Republic of
CityDaejeon
Period26/06/1928/06/19

Keywords

  • Machine learning
  • Mesh reconstruction
  • Mesh simplification
  • Photogrammetry
  • Procedural mode

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