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Hybrid Infrared and Visible Light Projection for Location Tracking. Johnny Lee, Scott Hudson, Paul Dietz Carnegie Mellon University Mitsubishi Electric Research Labs UIST 2007 – Newport, RI. Hybrid Projection. one projector. infrared. visible. But, why?.
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Hybrid Infrared and Visible Light Projection for Location Tracking Johnny Lee, Scott Hudson, Paul Dietz Carnegie Mellon University Mitsubishi Electric Research Labs UIST 2007 – Newport, RI
Hybrid Projection one projector infrared visible But, why?
Projector-Based Location Discovery [Lee, UIST’04] Light sensors Projector Electronics & computer
Projector-Based Location Discovery calibration free: - no computer vision - no alignment - no manual input Scalable and robust
Moveable Surfaces [Lee, UIST 2005] • calibration free • no external tracker • - interactive content
Drawbacks Location Discovery [‘04] Moveable Surfaces [‘05] Incremental tracking Caustic B&W patterns Momentary movement
Ideally Full-screen Application Content Full-screen Location Patterns
Hybrid Projection one projector infrared visible for the computer for the human
Infrared & Visible Projection Visible Infrared
Infrared & Visible Projection Visible Infrared
Infrared & Visible Projection Visible Infrared
Infrared & Visible Projection Visible Infrared
Infrared & Visible Projection Visible Infrared
Infrared & Visible Projection Visible Infrared
Infrared & Visible Projection Visible Infrared
Infrared & Visible Projection Visible Infrared
Infrared & Visible Projection Visible Infrared
Infrared & Visible Projection Visible Infrared
Light Source: Lamps Xenon Arc Lamp
More Efficient and Better Lifespan Products emerging on market this year, 2007
IR and Visible Light LEDs 1000 LEDs/mm2 University of Strathclyde, Institute of Photonics
LED Array DMD Lens Projection optics
Our Dev Kit: 180 binary images/s High-Speed Dev Kit: 16,500 binary images/s Production Unit: +50,000 binary images/s 1024x768 area = 20 binary images 60Hz tracking = 2.4% duty cycle of production DMD Required changes to commercial designs would be minimal.
Demo of Capability Uses a second projector for visible content
Concept Applications Simulated using external tracking (calibration)
Hand-held projection with photosensitive tags [Siggraph 2004]
Acknowledgements Funded in part by the National Science Foundation under grants IIS-0121560 and IIS-0325351 Funded in part by Mitsubishi Electric Research Labs Johnny Chung Lee johnny@cs.cmu.edu
Other ways to make invisible patterns • Other non-visible wavelengths • Steganography • Color shifting • Noise encoding • Bit Timing • Synchronization may be difficult
Camera-Based Tracking • Requires calibration • Requires markers for segmentation • IR sensors + transmitter is less power than 4 IR LEDs • Does not provide ID • Limitation on the number of points • Limitation on tracking rate • Limitation on scene/target complexity • Resolution is not as scalable • Less optically robust • Optical path geometry and variable illumination
Projector vs Camera Tracking • Sensors provide point ID • Independent of scene/surface complexity
Space-Labeling Projectors 11 Infrared LED slide projectors Potentially Low-cost Per axis: 500Hz tracking at 10-bits Outdoor motion tracking
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