Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Advancing the Modeling of the Surface Site Using Structure from Motion Computer Vision: A Case Study of the Brigham Young University 3D Campus Model
Owing to the opportunity that the 2020 global COVID pandemic provided for safe flight of UAVs over a nearly unpopulated campus, a massive 3D Structure from Motion photogrammetry modeling project for all of Brigham Young University main campus was conducted resulting in the creation of an 80,384 photo, 1.65 trillion-pixel texture, hyper-realistic model that is visible for public display, study, and interaction on a simple internet browser. Cost effective terrestrial DSLR imagery coupled with autonomous unmanned aerial vehicle (UAV) flight and additional manual flights enabled us to image not only a large area, but capture high detail of structure walls, under-hangs, and other commonly missed or distorted features is common photogrammetric 3D reconstructions. Temperature, exposure, and shadow image post-processing greatly enhanced model alignment and aesthetics while 161 Ground Control Points provided accuracy, which was assessed with 116 check points to have an average 3.3 cm error. The final campus model provides a 3D digital snapshot of the historic COVID-19 pandemic and creates the framework for future VR/AR tours/experiences, campus planning, smart campus integration, and other uses.
Advancing the Modeling of the Surface Site Using Structure from Motion Computer Vision: A Case Study of the Brigham Young University 3D Campus Model
Owing to the opportunity that the 2020 global COVID pandemic provided for safe flight of UAVs over a nearly unpopulated campus, a massive 3D Structure from Motion photogrammetry modeling project for all of Brigham Young University main campus was conducted resulting in the creation of an 80,384 photo, 1.65 trillion-pixel texture, hyper-realistic model that is visible for public display, study, and interaction on a simple internet browser. Cost effective terrestrial DSLR imagery coupled with autonomous unmanned aerial vehicle (UAV) flight and additional manual flights enabled us to image not only a large area, but capture high detail of structure walls, under-hangs, and other commonly missed or distorted features is common photogrammetric 3D reconstructions. Temperature, exposure, and shadow image post-processing greatly enhanced model alignment and aesthetics while 161 Ground Control Points provided accuracy, which was assessed with 116 check points to have an average 3.3 cm error. The final campus model provides a 3D digital snapshot of the historic COVID-19 pandemic and creates the framework for future VR/AR tours/experiences, campus planning, smart campus integration, and other uses.
Advancing the Modeling of the Surface Site Using Structure from Motion Computer Vision: A Case Study of the Brigham Young University 3D Campus Model
Berrett, Bryce E. (Autor:in) / McClellan, Sarah (Autor:in) / Fuerst, Jared (Autor:in) / Franke, Kevin W. (Autor:in)
Geo-Congress 2022 ; 2022 ; Charlotte, North Carolina
Geo-Congress 2022 ; 92-101
17.03.2022
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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