3D MODEL RECONSTRUCTION BY SfM-MVS AND ITS APPLICATION TO DETECTION OF BUILDINGS DAMAGED DUE TO EARTHQUAKES
Author:
Affiliation:
1. CTI Engineering Co., Ltd.
2. Dept. of Architecture and Building Engineering, Tokyo Institute of Technology
3. Disaster Prevention Research Institute, Kyoto University
4. InterRisk Research Institute & Consulting, Inc.
Publisher
Architectural Institute of Japan
Subject
Building and Construction,Architecture
Link
https://www.jstage.jst.go.jp/article/aijs/82/735/82_775/_pdf
Reference4 articles.
1. 4) Yamazaki, F., Yano, Y., Matsuoka, M. : Visual Damage Interpretation of Buildings in Bam City Using QuickBird Images Following the 2003 Bam, Iran, Earthquake, Earthquake Spectra, Vol. 21, No. S1, pp. S329-S336, 2005.12.
2. 13) Lowe, D. G. : Distinctive Image Feature from Scale-Invariant Keypoints, International Conference on Computer Vision, Vol. 60, Issue 2, pp. 91-110, 2004.11.
3. 14) Neill D. F. Campbell, N. D. F., Vogiatzis, G., Hernandez, C., Cipolla, R. : Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo, ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I, pp. 766-779, 2008.
4. 19) Besl, P. J., Jain, R. C. : Invariant Surface Characteristics for 3D Object Recognition in Range Images, Computer Vision, Graphics, and Image Processing, Vol. 33, Issue 1, pp. 33-80, 1986.1.
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1. STUDY ON OPTIMUM CONDITIONS FOR IMPROVING THE MODELING OF STRUCTURES IN UAV-SfM/MVS SURVEY;Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics);2020
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