Human Vision/Computer Vision: Making Sense of Art
This two-day, interdisciplinary symposium debates the uses of computer vision in art analysis. A group of international researchers in art history, computer science, and philosophy will explore what computer vision brings to art history and how it extends or problematizes human vision.
We will also consider what new analytical possibilities computer vision offers and what problems it might generate or replicate in the discipline of art history.
Speakers include Keith Allen (University of York), Lora Angelova (National Archives, UK), Kathryn Brown (Loughborough University), Eva Cetinic (University of Zurich), Elliot Crowley (University of Edinburgh), Amalia Foka (University of Ioannina), Vanessa Guarino (Humboldt University), Leonardo Impett (Cambridge University), Houda Lamqaddam (University of Liège and KU Leuven), Min-Bin Lin (Humboldt University), Elizabeth Mansfield (Penn State University), David Ogawa (Union College), Emily Pugh (Getty Research Institute), Alexander Supartono (Edinburgh Napier University), Tracy Stuber (Getty Research Institute), James Wang (Penn State University). The event is generously funded by the British Academy.
To register please email the organizer: Kathryn Brown (firstname.lastname@example.org).
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- To register please email the organizer: Kathryn Brown (email@example.com)