READING FAÇADES: INTEGRATING HUMAN AND COMPUTER VISION
How does the emergence of computer vision, or machine phenomenology, inform our interpretations of the built environment? How can the face or exterior of a building be detected, organized, and understood? Instead of approaching human and computer vision in a binary fashion, how might they be blended to ask questions about society, technology, and design? In this workshop, we will combine image capture, Python programming, and physical computing techniques with object‐detection frameworks in order to not only expand existing perceptions of built environments but also consider the relevance of computer vision to building facade design, archiving, and analysis. Here, the affordances of computer vision to systematically, superficially, and rapidly detect, describe, and model 3D objects will prove informative. These affordances will be combined with critical studies of algorithms and computational culture. Students will participate in hands‐on, introductory workshops on Python, photogrammetry, image processing, machine learning, and physical computing. No previous experience in these areas will be assumed.
Computer Vision: methods for acquiring, processing, analyzing, and understanding images
Object Recognition: task of finding and identifying objects in an image or video sequence
Machine Learning: algorithms that can learn from data
Photogrammetry: taking measurements from photos to determine locations of surface points
Physical Computing: interactive physical systems using software and hardware that can sense and respond to the analog world
Python Programming: an open‐source, high‐level, easy to learn programming language
Jentery Sayers, Assistant Professor, Department of English & Director of Maker Lab,
University of Victoria
Jentery Sayers is Assistant Professor of English and Cultural, Social, and Political Thought, as well as the Director of the Maker Lab in the Humanities, at the University of Victoria. His research interests include comparative media studies, computational culture studies, critical theories of technology, and digital humanities.
Andrea J. Johnson, AIA, LEED BD+C, Assistant Professor UMN School of Architecture