| id |
ecaadesigradi2019_065 |
| authors |
Fukuda, Tomohiro, Novak, Marcos and Fujii, Hiroyuki |
| year |
2019 |
| title |
Development of Segmentation-Rendering on Virtual Reality for Training Deep-learning, Simulating Landscapes and Advanced User Experience |
| source |
Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 433-440 |
| doi |
https://doi.org/10.52842/conf.ecaade.2019.2.433
|
| summary |
Virtual reality (VR) has been suggested for various purposes in the field of architecture, engineering, and construction (AEC). This research explores new roles for VR toward the super-smart society in the near future. In particular, we propose to develop post-processing rendering, segmentation-rendering and shadow-casting rendering algorithms for novel VR expressions to enable more versatile approaches than the normal photorealistic red, green, and blue (RGB) expressions. We succeeded in applying a wide variety of VR renderings in urban-design projects after implementation. The developed system can create images in real time to train deep-learning algorithms, can also be applied to landscape analysis and contribute to advanced user experience. |
| keywords |
Super-smart society; Virtual Reality; Segmentation; Deep-learning; Landscape simulation; Shader |
| series |
eCAADeSIGraDi |
| email |
|
| full text |
 file.pdf (8,258,873 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:50 |
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