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キーワード:
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要旨:
Binocular disparity is an important cue for the human visual system to
recognize spatial layout, both in reality and simulated virtual worlds. This
paper introduces a perceptual model of disparity for computer graphics that is
used to define a metric to compare a stereo image to an alternative stereo
image and to estimate the magnitude of the perceived disparity change. Our
model can be used to assess the effect of disparity to control the level of
undesirable distortions or enhancements (introduced on purpose). A number of
psycho-visual experiments are conducted to quantify the mutual effect of
disparity magnitude and frequency to derive the model. Besides difference
prediction, other applications include compression, and re-targeting. We also
present novel applications in form of hybrid stereo images and
backward-compatible stereo. The latter minimizes disparity in order to convey a
stereo impression if special equipment is used but produces images that appear
almost ordinary to the naked eye. The validity of our model and difference
metric is again confirmed in a study.
