CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2017_008
authors Fukuda, Tomohiro, Inoue, Kazuya and Yabuki, Nobuyoshi
year 2017
title PhotoAR+DR2016 - Integrating Automatic Estimation of Green View Index and Augmented and Diminished Reality for Architectural Design Simulation
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 495-502
summary Urban vegetation has been used to tackle architectural and urban problems by reducing urban heat islands and improving the quality of urban landscapes and biodiversity. The green view index provides end users with a metric to intuitively understand the vegetation scenarios. This study integrates a green view index estimation method and augmented reality (AR) and diminished reality (DR) scenes of future architectural and urban design simulations. We developed the AR/DR system "PhotoAR+DR2016 (photogrammetry-based augmented and diminished reality)" that simultaneously measures the green view index and simulates building, urban, and planting designs with addition, demolition, and removal of the objects such as structures. The developed system enables real-time measurement of the green view index by appropriately reducing the image size and extracting the green area. Using the developed prototype system, the on-site verification can be conducted; in addition, the processing speed and the accuracy and inaccuracy rates can be measured, and the green view index can be sufficiently measured in real time.
keywords Green View Index; Landscape assessment; Design support system; Diminished Reality; Augmented Reality; Image analysis
series eCAADe
email fukuda@see.eng.osaka-u.ac.jp
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