id |
caadria2019_143 |
authors |
Kato, Yuri and Matsukawa, Shohei |
year |
2019 |
title |
Development of Generating System for Architectural Color Icons Using Google Map Platform and Tensorflow-Segmentation |
source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 81-90 |
doi |
https://doi.org/10.52842/conf.caadria.2019.2.081
|
summary |
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. |
keywords |
Google street view; machine learning; image segmentation; color palette; color analysis |
series |
CAADRIA |
email |
nunujima3@gmail.com |
full text |
file.pdf (27,211,467 bytes) |
references |
Content-type: text/plain
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Delon, J, Desolneux, A, Lisani, JL and Petro, AB (2005)
Automatic color palette
, IEEE International Conference on Image Processing 2005
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Koura, H (2008)
Study of Planning and Implementation of Landscape Plan Legislated in Landscape Act - Case Studies of Landscape Plans decided in the early stage
, Journal of the City Planning Institute of Japan, No.43-3, pp. 211-216
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Mitsuboshi, M (2013)
Noisy Color Pollution and Landscape Problems - Actual Condition and Solution -
, Humanities Institute Report, 50, pp. 41-67
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last changed |
2022/06/07 07:52 |
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