Graphics Turing test

Hyperrealistic images generated with ray tracing like this make people question if it is a real photograph, or actually a rendered image.

In computer graphics the graphics Turing test is a variant of the Turing test, the twist being that a human judge viewing and interacting with an artificially generated world should be unable to reliably distinguish it from reality.[1]

The original formulation of the test is:

"The subject views and interacts with a real or computer generated scene. The test is passed if the subject can not determine reality from simulated reality better than a random guess. (a) The subject operates a remotely controlled (or simulated) robotic arm and views a computer screen. (b) The subject enters a door to a controlled vehicle or motion simulator with computer screens for windows. An eye patch can be worn on one eye, as stereo vision is difficult to simulate."

The "graphics Turing scale" of computer power is then defined as the computing power necessary to achieve success in the test. It was estimated in,[1] as 1036.8 TFlops peak and 518.4 TFlops sustained. Actual rendering tests with a Blue Gene supercomputer showed that current supercomputers are not up to the task scale yet.[2]

A restricted form of the graphic Turing test has been investigated, where test subjects look into a box, and try to tell whether the contents are real or virtual objects. For the very simple case of scenes with a cardboard pyramid or a styrofoam sphere, subjects were not able to reliably tell reality and graphics apart.[3]

See also

References

  1. ^ a b McGuigan, Michael (2006). "Graphics Turing Test". arXiv:cs/0603132. Bibcode:2006cs........3132M. {{cite journal}}: Cite journal requires |journal= (help)
  2. ^ McGuigan, Michael (2008). "Toward the Graphics Turing Scale on a Blue Gene Supercomputer". arXiv:0801.1500 [cs.GR].
  3. ^ M. Borg, S. S. Johansen, D. L. Thomsen and M. Kraus, Practical Implementation of a Graphics Turing Test, Advances in Visual Computing, 8th International Symposium, ISVC 2012 : Lecture Notes in Computer Science 2012 [1]


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