A step-by-step construction site photography procedure to enhance the efficiency of as-built data visualization: a case study

Author:

Jadidi Hossein,Ravanshadnia Mehdi,Hosseinalipour Mujtaba,Rahmani Fatemeh

Abstract

Abstract Introduction Visualization of as-built data may change the future of construction project management to a more efficient area of knowledge if appropriate and easy photography and reconstruction tools would be developed and used by practitioners. Most of the current reconstructed 3D point cloud models use unordered photograph collections to generate 4D as-built models. Some of these photographs are not used in the final model mostly because of either a possible overlap with other photos or some faults in photography procedure. Computation time increases exponentially as the number of photos in a photo collection increases. Therefore, the unstructured processes may reduce the performance of a point-cloud model representation. This work shows how the available application of unordered photograph collections are regularly inefficient by measuring the performance of some important criteria, such as the registration success score and the computation time. Case description The case study is the construction of a gas compressor station. Such industrial projects involve several building and work areas (e.g., substation, control building, and piping area). The construction site covers approximately 20 hectares. The case study was conducted in two stages. In the first stage, preexisting images have been used for image based modelling (IBM). In the second stage, images captured based on a step-by-step photography procedure (SPP) have been used for IBM. Discussion and evaluation IBM performance in the first stage of the case study has been compared with the performance of the second stage by comparing the registration success scores. The IBM in the first stage of the case study results in sparse models, which hardly show the geometry of construction scenes. By contrast, capturing images based on the SPP in the second stage of the case study significantly changed the performance of IBM and increased the registration success score. Conclusion This study provides an easy applicable on-site photography procedure. By adopting the proposed approach and by training the photographers, the model would be more desirable for application in more construction projects. The application of the SPP in the case study shows a significant improvement in the final reconstructed 3D point cloud model and as-built data visualization criteria.

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Engineering (miscellaneous),Modeling and Simulation

Reference23 articles.

1. Akinci, B, Kiziltas, S, Ergen, E, Karaesmen, IZ, Keceli, F (2006). Modeling and analyzing the impact of technology on data capture and transfer processes at construction sites: a case study. Journal of construction engineering and management, 132(11), 1148–1157.

2. Bae, H, Golparvar-Fard, M, White, J (2013). High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (aec/fm) applications. Visualization in Engineering, 1(1), 1–13.

3. FIDIC. (2006). Conditions of contract for construction, for building and engineering works designed by the employer, multilateral development bank harmonized edition: Fédération Internationale des Ingénieurs-Conseils (FIDIC).

4. Ducke, B, Score, D, Reeves, J (2011). Multiview 3d reconstruction of the archaeological site at weymouth from image series. Computers & Graphics, 2, 375–382.

5. Golparvar-Fard, M, Peña-Mora, F, Savarese, S (2009a). D4ar–a 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication. Journal of information technology in construction, 14, 129–153.

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3