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

Yuri Kato; Shohei Matsukawa

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

Yuri Kato, Shohei Matsukawa

Faculty of Environment and Information Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
Editors	Matthias Hank Haeusler, Marc Aurel Schnabel, Tomohiro Fukuda
Publisher	The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
Pages	81-90
Number of pages	10
ISBN (Electronic)	9789887891727
Publication status	Published - 2019
Event	24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019 - Wellington, New Zealand Duration: 2019 Apr 15 → 2019 Apr 18

Publication series

Name	Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
Volume	2

Conference

Conference	24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019
Country/Territory	New Zealand
City	Wellington
Period	19/4/15 → 19/4/18

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

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).

Development of generating system for architectural color icons using google map platform and tensorflow-segmentation. / Kato, Yuri; Matsukawa, Shohei.
Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019. ed. / Matthias Hank Haeusler; Marc Aurel Schnabel; Tomohiro Fukuda. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2019. p. 81-90 (Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kato, Y & Matsukawa, S 2019, Development of generating system for architectural color icons using google map platform and tensorflow-segmentation. in MH Haeusler, MA Schnabel & T Fukuda (eds), Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019. 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), pp. 81-90, 24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019, Wellington, New Zealand, 19/4/15.

Kato Y, Matsukawa S. Development of generating system for architectural color icons using google map platform and tensorflow-segmentation. In Haeusler MH, Schnabel MA, Fukuda T, editors, Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA). 2019. p. 81-90. (Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019).

Kato, Yuri ; Matsukawa, Shohei. / Development of generating system for architectural color icons using google map platform and tensorflow-segmentation. Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019. editor / Matthias Hank Haeusler ; Marc Aurel Schnabel ; Tomohiro Fukuda. The Association for 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).

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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