Architectural Biometrics is a platform that addresses the lack of tools for comparative analysis of spatial data. The platform is inspired by research on the Canadian and Ottoman railways, both of which include an array of prefabricated building designs that display fascinating dissimilarities. Analogous to facial recognition software, the platform algorithmically analyzes 3D scans.
Read more "About the project"
Meet the faculty and graduate students working on Architectural Biometrics.
Read more "Team"
Morden train station [click image to interact with 3D visualization] Durak train station [click image to interact with 3D visualization] Paleoindian Point Scanned at RMSC [click image to interact with 3D visualization]
Read more "Visualizations"
The project’s inspirations and resources include literature related to art history, biometrics, computation, image processing, and 3D modeling.
Read more "Bibliography"
In an effort to expand the scale and scope of the Architectural Biometrics platform, during the Fall of 2017 graduate assistants Alicia Chester and Julia Tulke began scanning several Paleoindian points (commonly known as “arrowheads”) held in the collections of our external partner, the Rochester Museum and Science Center (RMSC). The goal of this new […]
Read more "From Architecture to Artifacts: Scanning Paleoindian Points at RMSC (Fall 2017)"