Development of generating system for architectural color icons using google map platform and tensorflow-segmentation

Yuri Kato, Shohei Matsukawa

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

Abstract

In this research, the goal is to develop a generating system for architectural color icons using Google Map Platform and Tensorflow-Segmentation. There has been no case of developing a system that allows users to visualize the color tendency of buildings as architectural color icons for each building element from images of various regions. It is considered meaningful to be able to create criteria for decision making in architecture and the urban design by developing a system to clarify the current state of the architectural colors. It will contribute a rise in the consciousness of landscape conservation and be essential for the design of architectures and public objects. This paper includes the explanation of development method, use experiments, and consideration of five problems among architectural color icons creation. It is assumed that the accuracy of the present system will be better as the technology improves.

Original languageEnglish
Title of host publicationIntelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
EditorsMatthias Hank Haeusler, Marc Aurel Schnabel, Tomohiro Fukuda
PublisherThe Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
Pages81-90
Number of pages10
ISBN (Electronic)9789887891727
Publication statusPublished - 2019 Jan 1
Event24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019 - Wellington, New Zealand
Duration: 2019 Apr 152019 Apr 18

Publication series

NameIntelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
Volume2

Conference

Conference24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019
CountryNew Zealand
CityWellington
Period19/4/1519/4/18

Keywords

  • Color analysis
  • Color palette
  • Google street view
  • Image segmentation
  • Machine learning

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Kato, Y., & Matsukawa, S. (2019). Development of generating system for architectural color icons using google map platform and tensorflow-segmentation. In M. H. Haeusler, M. A. Schnabel, & T. Fukuda (Eds.), Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019 (pp. 81-90). (Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019; Vol. 2). The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).