Webinar (2024-Feb-20) with Alex Razoumov
The term photogrammetry typically refers to the process of constructing a 3D model by analyzing a series of photographs of the same subject captured from various angles. Widely employed in fields such as mapping, surveying, architecture, archaeology, and cultural heritage preservation, photogrammetry is very expensive computationally and is traditionally done with commercial packages, even on large workstations and HPC clusters. Regrettably, in the eyes of many academic researchers, open-source photogrammetry tools have still not caught up with proprietary software in terms of both performance and output quality. Even further, running open-source photogrammetry on HPC clusters is far from trivial. In this webinar, we demonstrate a couple of photogrammetry workflows that we have run successfully on Cedar. We take a look at OpenDroneMap and Meshroom and discuss all steps from taking initial images to building and displaying a final 3D textured model.
Webinar (2023-Nov-28) with Alex Razoumov
3D visualization is surprisingly little used to visualize data and connections in digital humanities, despite the fact that the 3rd dimension can provide many benefits, from decluttering your plot to encoding one of the variables. In this webinar I present a workflow to analyze a text corpus consisting of works from multiple authors, and visualize the differences between their vocabularies in 3D. I complement this visualization with 3D graphs to link similar texts. Throughout this webinar I am using only open-source tools – Python and several 3rd-party Python libraries, ParaView, and VTK, and show 3D visualizations that can easily scale to millions of texts and can work for any input language.
Webinar (2023-May-09) with John Simpson
Webinar (2021-May-12) with Megan Meredith-Lobay
Webinar (2019-Nov-27) with John Simpson
Webinar (2020-May-27 ) with John Simpson
Webinar (2019-Feb-06) with Ian Percel
Webinar (2018-Nov-28) with John Simpson
Webinar (2017-Sep-21) with Megan Meredith-Lobay