Image-Based 3D Reconstruction for Posthurricane Residential Building Damage Assessment-Reference-Cited by-同舟云学术

Image-Based 3D Reconstruction for Posthurricane Residential Building Damage Assessment

Published:2016-03 Issue:2 Volume:30 Page:04015015
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Zhou Zixiang¹,Gong Jie²,Guo Mengyang¹

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Rutgers, State Univ. of New Jersey, Piscataway, NJ 08854.

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Rutgers, State Univ. of New Jersey, Piscataway, NJ 08854 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000480

Reference70 articles.

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2. Challenging the odds of hurricane damage data collection;Adams B.;Imag. Notes,2006

3. Toward low-cost 3D automatic pavement distress surveying: the close range photogrammetry approach;Ahmed M.;Can. J. Civ. Eng.,2011

4. ATC (Applied Technology Council). (2004). “ATC-45 field manual: Safety evaluation of buildings after windstorms and floods.” Redwood City CA.

5. Autodesk. (2012). “123D catch.” 〈http://www.123dapp.com/catch〉 (Jan. 27 2015).

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