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detecting human shapes with IR light/cameras

Last post 05-20-2008, 5:42 PM by cannman. 5 replies.
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  •  05-19-2008, 4:26 AM 1452

    detecting human shapes with IR light/cameras

    Hello,
    my name is Fabian and i'm writing my master thesis of computer science at the University of South Australia.
    Im working at a project concerning the llumination of real 3D models with multiple projectors.

    I need some general help and information about IR and i hope, you will help me..

    My goal is to detect the shadows on the model cast by users stepping in front of the projector. Three different approaches dealing with IR might be possible..

    1) Illuminating the whole scene with IR-light and detecting the IR shadow of the user on the model.

    2) Is it possible to detect the user via thermography in a multi-projector illuminated environment?

    3) or do you have knowledge of any white paint color with special reflective attributes?
    e.g. reflecting visible light in a normal way, but absorbing all IR waves? (that would be the easiest solution for me)
    or a material that reflects visible and IR waves in a different way?

    I ll appreciate any useful comments on this topic or further links to other forums/information..
    thanks & cheers
    Fabian
  •  05-19-2008, 11:29 AM 1455 in reply to 1452

    Re: detecting human shapes with IR light/cameras

    Hi Fabian,

    I'm coming from an Engineering background, so could you offer a bit more explanation for what your trying to achieve? I don't quite understand what you mean by "illumination of real 3D models with multiple projectors". Is this using lamps to illuminate a physical model, or something like 3D holographic projection?

    I'm not sure I understand, but you might be getting confused between the reflection and emission/absorbsion of light. In the IR part of the spectrum, anything with a temperature will emit light over a wide waveband. We don't need to reflect IR light off a person to 'illuminate' them; they emit IR light all by themselves.


     

  •  05-19-2008, 10:24 PM 1458 in reply to 1455

    Re: detecting human shapes with IR light/cameras

    Hi Stephen,

    thanks for your interest,

    You got the general idea, it is some kind of holographic projection, but restricted to the physical underlying model,
    to make things clear i will post a part of my thesis plan, that will hopefully explain the basic problem: 

     "Augmented reality comprises a wide range of different applications, techniques and input/output
    devices. In general it supplements the real environment with additional, virtual information.
    The spatial augmented reality (SAR), visualizes the virtual content directly on the surface of physical
    objects. The information can appear on arbitrary surfaces or aligned to real 3D objects. Users of this
    system are unconstrained from hardware devices such as head-mounted-displays. Projection-based
    spatial displays use front-projection to support multiple users indpendently. The virtual information is
    presented on a wide field-of-view and in high resolution. The shader lamps technique illuminates
    diffuse white objects with multiple projectors, simulating different surface appearances.
    While interacting with a shader lamps system, users will be casting shadows on the object, destroying
    the intended impression. Compensating these shadows with additional projectors will improve the
    usability of projection-based spatial displays. The main goal of this thesis is to develop a prototypical
    shadow elimination algorithm for shader lamps."

     The following picture shows a shader lamps model:


     ------------------------------------------------

     

    To reach this goal it is compulsory to detect the user shadow or the user shape !


    Former approaches have used the infrared technique to distinguish the usershape from the surface of the model.
    The algorithm works as follows:

    Unlike the user, the surface is illuminated with (i suppose) near infrared waves! NIR cameras, record the high IR contrast between the IR unilluminated user and the IR illuminated surface. (This results in a deteted user shape and methods can be started to compensate the shadow on the surface...)

     The following picture shows the infrared approach in a 2d environment:

     The following picture shows the infrared approach in a 2d environment:
     


    I know that all surfaces reflect/emit IR waves, but the approach described above did work! Maybe it was limited to a specific waveband...

    This approach could be enhanced if it is possible to detect the "normal" IR radiance emited by humans AND if this irradiance is recognisable by cameras in projector illuminated environment. Maybe it is considerable, that standard projectors filter out IR radiance...

    A question concerning this might be whether the projector-illuminated model emits IR waves although it is not illuminated by IR light..?

     

    However, the best solution would be an IR absorbing white material !!!

     

     

     

  •  05-19-2008, 11:13 PM 1460 in reply to 1458

    Re: detecting human shapes with IR light/cameras

    Call me I think I have a solution

    704-200-6367


    John Cannamela
    ASNT II Vibration/ Level II Thermographer
    HVAC Journeyman
    Owner ISC Building Diagnostics
    http://www.infraredsurvey.com www.iscbuildingdiagnostics.com
    jc@iscbuildingdiagnostics.com
  •  05-19-2008, 11:49 PM 1461 in reply to 1460

    Re: detecting human shapes with IR light/cameras

    Hey,

    got no phone here available (and a mobile call is too expensive),
    i would appreciate if you could post your idea here..

    cheers
     

  •  05-20-2008, 5:42 PM 1468 in reply to 1461

    Re: detecting human shapes with IR light/cameras

    go to www.infraredsurvey.com and send me your info I would rather not discuss on open forum


    John Cannamela
    ASNT II Vibration/ Level II Thermographer
    HVAC Journeyman
    Owner ISC Building Diagnostics
    http://www.infraredsurvey.com www.iscbuildingdiagnostics.com
    jc@iscbuildingdiagnostics.com
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