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Computational Imaging

Computational Imaging is a field in computer science that studies the computational extraction of information from digital photographs and has democratised the process of capturing, preserving, disseminating, and promoting heritage.

Resources

  • Mapping Science in Immersive Architectures

    In this webinar from Friday Frontiers, Dario Rodighiero (University of Groningen) discusses visualisation and representation of scholarly knowledge. This presentation brings science mapping back to its original meaning by widening its context to arts and humanities with the help of design.
  • Visual Analytics - Enabling Images to Speak for Themselves

    In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ADCH-CH), Björn Ommer discusses Visual Analytics's concern of how to teach machines to enable visuals to speak for themselves. Pointing out the current inadequacy of research tools in the humanities, Ommer discusses questions such as "How would research in the humanities benefit if computers could handle images just as competently as they presently process text?"
  • You Never Build Just One Interface - You Don't Even Own It

    In this closing keynote at the DARIAH Virtual Annual Event 2021, Chris Heilmann, Principal PM for developer tools at Microsoft, covers a range of user-scenarios that he had to cover in the 25 years of building products for people on the web and what benefits it had to let go.
  • Computational Museology

    This keynote lecture delivered at the DARIAH Annual Event 2021 by Sarah Kenderdine explores how computation has become ‘experiential, spatial and materialized; embedded and embodied’.
  • Remaking Material Culture in 3D

    This course is designed to develop your knowledge of the theory and practice of digitising material culture by producing computer generated and printed 3D models.