| 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 |
| doi |
https://doi.org/10.52842/conf.ecaade.2017.2.495
|
| 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 |
| full text |
 file.pdf (8,657,762 bytes) |
| references |
Content-type: text/plain
|
Agarwal, S, Snavely, N, Simon, I, Seitz, S.M. and Szeliski, R (2009)
 Building Rome in a Day
, 2009 IEEE 12th International Conference on Computer Vision (ICCV), pp. 72-79
|
|
|
|
|
Almazan, J, Radovic, D and Suzuki, T (2012)
Small Urban Greenery: Mapping and Visual Analysis in Kyojima-Sanchome
, International Journal of Architectural Research, 6(1), pp. 57-76
|
|
|
|
|
Aoki, Y (1987)
Relationship between perceived greenery and width of visual fields
, J. Jpn. Inst. of Landscape Architects, 51(1), pp. 1-10
|
|
|
|
|
Cheng, Y (1995)
Meanshift, mode seeking, and clustering
, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(8), pp. 790-799
|
|
|
|
|
Ding, Y, Fukuda, T, Yabuki, N and Michikawa, T (2015)
A Measurement Tool for Visible Greenery Ratio Derived from Gaussian Blur, Hue and Saturation Filtering
, Proceedings of International Conference on Civil and Building Engineering Informatics (ICCBEI 2015), Tokyo, p. 104
|
|
|
|
|
Ding, Y, Fukuda, T, Yabuki, N, Michikawa, T and Motamedi, A (2016)
Automatic Measurement System of Visible Greenery Ratio Using Augmented Reality
, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016), Melbourne, pp. 703-712
|
|
|
|
|
Enomoto, A and Saito, H (2007)
Diminished reality using multiple handheld camera
, Proceedings of ACCV 2007, pp. 130-150
|
|
|
|
|
Gudrun, K, Didier, S and Dirk, R (2001)
Augmented reality for exterior construction applications
, Barfield, W (eds), Fundamentals of wearable computers and augmented reality, CRC Press, pp. 379-427
|
|
|
|
|
Inoue, K, Fukuda, T, Yabuki, N, Motamedi, A and Michikawa, T (2016)
Post-Demolition Landscape Assessment Using Photogrammetry-based Diminished Reality (DR)
, Proceedings of the 16th International Conference on Construction Applications of Virtual Reality (conVR2016), Hong Kong, pp. 689-699
|
|
|
|
|
Komiya, Y and Susaki, J (2015)
Estimation of Visible Green Index in Urban Area Using Airborne Measurement
, Journal of Japan Society of Civil Engineers, Ser. D1 (Architecture of Infrastructure and Environment), 71 (1), pp. 1-9
|
|
|
|
|
Li, X, Zhang, C, Li, W, Ricard, R, Meng, Q and Zhang, W (2015)
Assessing street-level urban greenery using Google Street View and a modified green view index
, Urban Forestry & Urban Greening, 14, pp. 675-685
|
|
|
|
|
Milgram, P and Kishino, F (1994)
A Taxonomy of Mixed Reality Visual Displays
, IEICE TRANSACTIONS on Information and Systems, E77-D(12), pp. 1321-1329
|
|
|
|
|
Shafer, Jr. E.L. and Brush, R.O. (1977)
How to measure preferences for photographs of natural landscapes
, Landscape Planning, 4, pp. 237-256
|
|
|
|
|
Tomasi, C and Kanade, T (1992)
Shape and motion from image streams under orthography: a factorization method
, International Journal of Computer Vision, 9(2), pp. 137-154
|
|
|
|
|
Yang, J, Zhao, L, McBride, J and Gong, P (2009)
Can you see green? Assessing the visibility of urban forests in cities
, Landsc. Urban Plan., 91, pp. 97-104
|
|
|
|
| last changed |
2022/06/07 07:50 |
|
