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    Johnny Lee, Scott Hudson, Paul Dietz

    Carnegie Mellon University

    Mitsubishi Electric Research Labs

    UIST 2007 Newport, RI

    Hybrid Infrared and Visible LightProjection for Location Tracking

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    Hybrid Projection

    infrared visibleone projector

    But, why?

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    Projector-Based Location Discovery [Lee, UIST04]

    Light sensors

    Electronics & computer

    Projector

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    Projector-Based Location Discovery

    calibration free:- no computer vision- no alignment- no manual input

    Scalable and robust

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    Moveable Surfaces

    [Lee, UIST 2005]

    - calibration free- no external tracker- interactive content

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    Drawbacks

    Location Discovery [04] Moveable Surfaces [05]

    Caustic B&W patternsMomentary movement

    Incremental tracking

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    Ideally

    Full-screenLocation Patterns

    Full-screenApplication Content

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    Hybrid Projection

    infrared visible

    for the computer for the human

    one projector

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    Infrared & Visible Projection

    Infrared Visible

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    Infrared & Visible Projection

    Infrared Visible

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    Infrared & Visible Projection

    Infrared Visible

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    Infrared & Visible Projection

    Infrared Visible

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    Infrared & Visible Projection

    Infrared Visible

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    Infrared & Visible Projection

    Infrared Visible

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    Infrared & Visible Projection

    Infrared Visible

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    Infrared & Visible Projection

    Infrared Visible

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    Infrared & Visible Projection

    Infrared Visible

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    Infrared & Visible Projection

    Infrared Visible

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    How?

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    Light Source: Lamps

    Xenon Arc Lamp

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    Light Technologies

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    More Efficient and Better Lifespan

    Products emerging on market this year, 2007

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    IR and Visible Light LEDs 1000 LEDs/mm2University of Strathclyde, Institute of Photonics

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    DMD LED ArrayLens

    Projection optics

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    Our Dev Kit: 180 binary images/sHigh-Speed Dev Kit: 16,500 binary images/sProduction Unit: +50,000 binary images/s

    1024x768 area = 20 binary images60Hz tracking = 2.4% duty cycle of production DMDRequired changes to commercial designs would be minimal.

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    Demo of CapabilityUses a second projector for visible content

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    Inherent Multi-Stylus Tracking

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    Non-Planar and Discontinuous Surfaces

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    Static IR Patterns

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    Concept ApplicationsSimulated using external tracking (calibration)

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    [Siggraph 2004]

    Hand-held projection with photosensitive tags

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    Foldable Interactive Displays [submitted to CHI]

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    Acknowledgements

    Johnny Chung Lee

    [email protected]

    Funded in part by the NationalScience Foundation under grantsIIS-0121560 and IIS-0325351

    Funded in part by

    Mitsubishi Electric Research Labs

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    Other ways to make invisible patterns

    Other non-visible wavelengths

    Steganography

    Color shifting

    Noise encoding

    Bit Timing Synchronization may be difficult

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    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

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    Projector vs Camera Tracking

    Sensors provide point ID Independent of scene/surface complexity

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    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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    Binary Gray

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    Binary Gray

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    Binary Gray

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    Pixart Chip

    1024x768 resolution100Hz tracking4 points

    Only 4 pointsHigh power LED points