Dezembro 2019 vol. 7 num. 1 - 37 Education and Research in Computer Aided Architectural Design in Europe and XXIII Iberoamerican Society of Digital Graphics, Joint Conference (N. 1)
- Open Access.
Development of Segmentation-Rendering on Virtual Reality for Training Deep-learning, Simulating Landscapes and Advanced User Experience
Development of Segmentation-Rendering on Virtual Reality for Training Deep-learning, Simulating Landscapes and Advanced User Experience
Fukuda, Tomohiro ; Novak, Marcos ; Fujii, Hiroyuki ;
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Virtual reality (VR) has been suggested for various purposes in the field ofarchitecture, engineering, and construction (AEC). This research explores newroles for VR toward the super-smart society in the near future. In particular, wepropose to develop post-processing rendering, segmentation-rendering andshadow-casting rendering algorithms for novel VR expressions to enable moreversatile approaches than the normal photorealistic red, green, and blue (RGB)expressions. We succeeded in applying a wide variety of VR renderings inurban-design projects after implementation. The developed system can createimages in real time to train deep-learning algorithms, can also be applied tolandscape analysis and contribute to advanced user experience.
:
Virtual reality (VR) has been suggested for various purposes in the field ofarchitecture, engineering, and construction (AEC). This research explores newroles for VR toward the super-smart society in the near future. In particular, wepropose to develop post-processing rendering, segmentation-rendering andshadow-casting rendering algorithms for novel VR expressions to enable moreversatile approaches than the normal photorealistic red, green, and blue (RGB)expressions. We succeeded in applying a wide variety of VR renderings inurban-design projects after implementation. The developed system can createimages in real time to train deep-learning algorithms, can also be applied tolandscape analysis and contribute to advanced user experience.
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DOI: 10.5151/proceedings-ecaadesigradi2019_065
Referências bibliográficas
- [1] .
Como citar:
Fukuda, Tomohiro; Novak, Marcos; Fujii, Hiroyuki; "Development of Segmentation-Rendering on Virtual Reality for Training Deep-learning, Simulating Landscapes and Advanced User Experience", p. 432-440 . In: Proceedings of 37 eCAADe and XXIII SIGraDi Joint Conference, “Architecture in the Age of the 4Th Industrial Revolution”, Porto 2019, Sousa, José Pedro; Henriques, Gonçalo Castro; Xavier, João Pedro (eds.).
São Paulo: Blucher,
2019.
ISSN 2318-6968,
DOI 10.5151/proceedings-ecaadesigradi2019_065
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