
Infrastructure Computer Vision
Description
Key Features
- Explains how to best capture raw geometrical and visual data from infrastructure scenes and assess their quality
- Offers valuable insights on how to convert the raw data into actionable information and knowledge stored in Digital Twins
- Bridges the gap between the theoretical aspects and real-life applications of computer vision
Readership
Professionals and students in Built Environment disciplines: asset owners, designers, contractors, subcontractors, and asset operators/maintainers
Table of Contents
1. Introduction
Ioannis Brilakis and Carl Haas
2. Surveying, Geomatics, and 3D Reconstruction
Pingbo Tang, Steven Vick, Jiawei Chen and Stephanie German Paal
3. Scene understanding and model generation
Eva Agapaki and Mohammad Nahangi
4. Use Cases for Owners and Maintainers
Varun Kasireddy, Yujie Wei and Burcu Akinci
5. Use Cases for Architects and Engineers
Stephanie German Paal, Steven Vick and Marianna Kopsida
6. Use Cases for Contractors
Hyoungkwan Kim
7. Use Cases for Subcontractors and Fabricators
Mohammad Nahangi and Minkoo Kim
8. The Future
Carl Haas and Ioannis Brilakis
Product details
- No. of pages: 408
- Language: English
- Copyright: © Butterworth-Heinemann 2019
- Published: November 28, 2019
- Imprint: Butterworth-Heinemann
- Paperback ISBN: 9780128155035
- eBook ISBN: 9780128172582
About the Authors
Ioannis Brilakis
Affiliations and Expertise
Carl Thomas Michael Haas
Affiliations and Expertise
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