Advancing the Modeling of the Surface Site Using Structure from Motion Computer Vision: A Case Study of the Brigham Young University 3D Campus Model-Reference-Cited by-同舟云学术

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Advancing the Modeling of the Surface Site Using Structure from Motion Computer Vision: A Case Study of the Brigham Young University 3D Campus Model

Published:2022-03-17 Issue: Volume: Page:
ISSN:
Container-title:Geo-Congress 2022
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Author:

Berrett Bryce E.¹²²³,McClellan Sarah¹²²³,Fuerst Jared¹²²³,Franke Kevin W.¹²²³

Affiliation:

1. M.S. Graduate Student, BYU ROAM Lab, Dept. of Civil and Environmental Engineering, Brigham Young Univ., Provo, UT.

2. Undergraduate Student, BYU ROAM Lab, Dept. of Civil and Environmental Engineering, Brigham Young Univ., Provo, UT.

3. Associate Professor, Dept. of Civil and Environmental Engineering, Brigham Young Univ., Provo, UT.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784484067.010

Reference15 articles.

1. Adobe. (2021). Lightroom software. https://lightroom.adobe.com/.

2. Bentley Systems. (2021). ContextCapture software version 10.16.0.75. https://www.bentley.com/en/products/brands/contextcapture.

3. Assessment of GCP Number and Separation Distance for Small UAS Surveys with and without GNSS-PPK Positioning

4. An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection;Cook K. L.;Geomorphology,2017

5. Topographic structure from motion: a new development in photogrammetric measurement

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