M
Mark Bolas
Researcher at Institute for Creative Technologies
Publications - 147
Citations - 5724
Mark Bolas is an academic researcher from Institute for Creative Technologies. The author has contributed to research in topics: Virtual reality & Mixed reality. The author has an hindex of 38, co-authored 147 publications receiving 5238 citations. Previous affiliations of Mark Bolas include Microsoft & AmeriCorps VISTA.
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Proceedings ArticleDOI
Development and evaluation of low cost game-based balance rehabilitation tool using the microsoft kinect sensor
TL;DR: The aim of this research was to develop and assess an interactive game-based rehabilitation tool for balance training of adults with neurological injury using newly available low cost depth sensing camera technology that provides markerless full-body tracking on a conventional PC.
Proceedings ArticleDOI
The two-user Responsive Workbench: support for collaboration through individual views of a shared space
TL;DR: The two-user Responsive Workbench is presented: a projectionbased virtual reality system that allows two people to simultaneously view individual stereoscopic image pairs from their own viewpoints.
Proceedings ArticleDOI
Rendering for an interactive 360° light field display
TL;DR: A set of rendering techniques for an autostereoscopic light field display able to present interactive 3D graphics to multiple simultaneous viewers 360 degrees around the display is described and a multiple-center-of-projection rendering technique for creating perspective-correct images from arbitrary viewpoints around thedisplay is presented.
Proceedings ArticleDOI
FAAST: The Flexible Action and Articulated Skeleton Toolkit
TL;DR: FAAST can enable natural interaction for existing off-the-shelf video games that were not explicitly developed to support input from motion sensors, and the actions and input bindings are configurable at run-time, allowing the user to customize the controls and sensitivity to adjust for individual body types and preferences.
Journal ArticleDOI
Synthetic aperture confocal imaging
TL;DR: This paper adapts confocal imaging to large-scale scenes by replacing the optical apertures used in microscopy with arrays of real or virtual video projectors and cameras, and extracts mattes that can be used to selectively illuminate any plane in the scene.