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3D Stereoscopic Video Display Systems Laboratory

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Stereo image of Fira, the capital of Santorini, GREECE
For a technical overview of our 3D stereoscopic display system research see:

We are working with ARPA High Definition Systems Program funding on three advanced visual display system (AVDS) issues: computers for the television set of the future, high definition flat panel display manufacturing technology, and 3D-stereoscopic display of images and graphics. My lab is the locus of the the 3D-stereoscopy program. The effort encompasses issues of encoding, transmission, compression and decompression, display hardware matched to the psychophysics of binocular perception, and also quantifying the utility of 3D-stereoscopy for rendering complex data, simulated reality, and intricate spatial relationships.

Our perception of depth via the sensation of binocular stereopsis is due to our brain's ability to compute range estimates from the two perspectives cast on our left and right retinas. If we had only one eye the depth sensation would be absent, and our perception of the world would be correspondingly ambiguous. Reproducing or synthesizing stereopsis requires reproducing or synthesizing the appropriate perspectives on two displays, one serving each eye. The two displays are generally realized by a single screen and some means of multiplexing, e.g., spatial, angular, temporal, polarization, chromatic, etc. We use temporal multiplexing when we need the highest possible spatial resolution, and we use a convenient and relatively inexpensive hybrid spatial/polarization method for less critical applications.

The niche we have chosen in the 3D-display world is the minimalist one: graft just enough technology onto the existing 2D-infrastructure to resolve crucial depth ambiguities. We contrast this with the "total immersion," "virtual reality," "volumetric display," etc, approaches, which we feel impose an unacceptable overhead on the majority of users who need only simple video imagery or spreadsheet graphics displayed in low-tech, low-cost, low-eyestrain 3D.

We are researching:

A novel approach to parallax panoramagrams using time multiplexing is proposed in A Time-Multiplexed Autostereoscopic Display Based on Moving Parallax Barriers.
Energizer Bunny wide-barrier PP

Stereo image of CIMP on a 747

Our video work is driven by its application to remote visual inspection of aircraft for cracks and corrosion. The following papers best describe our research.

Such a visual inpection procedure requires geometrically correct imagery. From the beginning we have, theoretically and in practice, designed stereocameras with the proper optical and sensor systems to take stereo pictures that are easy to view. An aircraft inspector might spend hours looking at our stereoimagery without eyestrain.

These papers discuss the correct camera and screen geometries for creating 3D-stereoscopic images.
Stereo image of a Precision Duck

Our graphics work is guided by its application to the visualization of graphical representations of complex multi-dimensional data interactively aggregated from large databases. We initially worked with the Sage Group on the graphical portion of their project.

optimized pelvis alignment on seatcushion

The current focus is sensor fusion and corresponding 3-D display of ultrasound, MRI, and CT data as exemplified in

Within an HDTV infrastructure, it is possible to create high-definition stereoscopic imagery, using one high-resolution color camera and two low-resolution monochrome cameras, as described in Synthesis of a High Resolution 3D-Stereoscopic Image from a High Resolution Monoscopic Image and a Low Resolution Depth Map.

Piggy-backing 3D on the existing 2D-infrastructure of TV recording, broadcast, and display is only marginally possible. The infrastructure is capable of transporting some fixed number of pixels * colors * gray levels per second; dividing this bandwidth by two to make it serve two eyes extracts an unacceptable price in image quality per eye. HDTV will help, but the effect of a naive implementation will still be to drop back to something like NTSC resolution per eye.

A more sophisticated implementation would take advantage of the high correlation between left and right perspectives to acheive compression based on left-right predictability, in the same way that video compression schemes like MPEG exploit the temporal correlation between previous and future times. Using these concepts, we have succeeded in encoding stereo image streams in only a few percent more bandwidth than is needed to encode either image stream alone.

Since these compression schemes are based on left-right predictability, we can use very similar algorithms to synthesize intermediate views, adding the illusion of "look around" to 3D stereoscopic imagery in which in fact only two perspectives are actually present.

This research is sponsored in part by Advanced Research Projects Agency Electronic Systems Technology Office High Definition Systems Program Grant MDA972-92-J-1010.


Project Related Companies & Organizations

We have been archiving stereo image sequences from various sites on the net.


Our AVDS Publications


Related Newsgroups


Our People

Current
Tom Ault tomault@j.gp.cs.cmu.edu
Earl Crane mystie3k@cmu.edu
Alan Guisewite adg@cmu.edu
Priyan Gunatilake priyan@cs.cmu.edu
Angel Jordan ajordan@canyon.speech.cs.cmu.edu
Adam Kalai akalai+@cs.cmu.edu
ShinHwan Kim shkim@ux6.sp.cs.cmu.edu
Gregg Podnar gwp@cmu.edu
Mel Siegel mws@cmu.edu
Huadong Wu whd@ux1.sp.cs.cmu.edu
Former
Mei Chuah mei+@g.gp.cs.cmu.edu
Victor Grinberg vsg@cs.cmu.edu
Kyung - Tae Kim ktkim@ux1.sp.cs.cmu.edu
Joe Mattis jam@cs.cmu.edu
Jeffrey McVeigh jeffrey_mcveigh@ccm.jf.intel.com
Steve Roth roth+@isl1.ri.cmu.edu
Scott Safier corwin+@cmu.edu
Sriram Sethuraman sriram@sarnoff.com


Here's a summary (and history) of our other research areas.


contact person: Mel Siegel, mws@cmu.edu

Mel Siegel's homepage
Intelligent Measurement and Control Lab (a.k.a. The Sensor Lab) homepage
The Robotics Institute homepage
School of Computer Science homepage
Carnegie Mellon University homepage


maintained by: Alan Guisewite, adg@cmu.edu

Last Update 15 May 1998

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