OptiSpace: Automated Placement of Interactive 3D Projection Mapping Content

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  • Andreas Fender
  • ,
  • Philipp Herholz, TU Berlin
  • ,
  • Marc Alexa, TU Berlin, Tyskland
  • 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.
TitelProceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Antal sider11
UdgivelsesstedACM New York, NY, USA
ForlagAssociation for Computing Machinery
Udgivelsesår21 apr. 2018
ISBN (trykt)978-1-4503-5620-6
StatusUdgivet - 21 apr. 2018
BegivenhedACM CHI Conference on Human Factors in Computing Systems - Montreal, Canada
Varighed: 21 apr. 201826 apr. 2018


KonferenceACM CHI Conference on Human Factors in Computing Systems
SerietitelACM CHI Conference on Human Factors in Computing Systems

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