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OptiSpace: Automated Placement of Interactive 3D Projection Mapping Content

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  • Andreas Fender
  • ,
  • Philipp Herholz, TU Berlin
  • ,
  • Marc Alexa, TU Berlin, Germany
  • Jörg Müller, University of Bayreuth
We present OptiSpace, a system for the automated placement of perspectively corrected projection mapping content. We analyze the geometry of physical surfaces and the viewing behavior of users over time using depth cameras. Our system measures user view behavior and simulates a virtual projection mapping scene users would see if content were placed in a particular way. OptiSpace evaluates the simulated scene according to perceptual criteria, including visibility and visual quality of virtual content. Finally, based on these evaluations, it optimizes content placement, using a two-phase procedure involving adaptive sampling and the covariance matrix adaptation algorithm. With our proposed architecture, projection mapping applications are developed without any knowledge of the physical layouts of the target environments. Applications can be deployed in different uncontrolled environments, such as living rooms and office spaces.
Original languageEnglish
Title of host publicationProceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Number of pages11
Place of publicationACM New York, NY, USA
PublisherAssociation for Computing Machinery
Publication year21 Apr 2018
Article number269
ISBN (print)978-1-4503-5620-6
Publication statusPublished - 21 Apr 2018
EventACM CHI Conference on Human Factors in Computing Systems - Montreal, Canada
Duration: 21 Apr 201826 Apr 2018


ConferenceACM CHI Conference on Human Factors in Computing Systems
SeriesACM CHI Conference on Human Factors in Computing Systems

Bibliographical note

Danish Innovation Fund

    Research areas

  • Multi-display environments, 3D projection mapping, Content placement, Viewing behavior

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