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Random-Dot Stereograms

Coherence-based stereo utilizes simple disparity estimators which work directly with the image intensities. An intensity-based algorithm might have some difficulties with images composed only of black and white pixels, like classical random-dot stereograms. But thatīs not the case for coherence-based stereo. Here's the result of a calculation with such an image pair (see also here for results with a sparse RDS):
Left Image
left picture
Right Image
right picture
Disparity
calculated disparity
Another difficult test for stereo algorithms is the repetitive structure found in many in SIRDS or Magic-Eyes. These images use the same techniques as RDS, but utilize a single image (that's were the name comes from: SingleImageRDS), which is repeated several times.


Wonderful SIRDS are produced by Magic-Eye and distributed by Universal Press Syndicate to hundreds of newspapers. Here's an example of a disparity map calculated from such a Magic-Eye:

Turkey SIRDS
A Magic-Eye, coding a Turkey,...
Disparity Map
... and the calculated disparity map
- to view a clean version of the above Magic-Eye, click on it (with many thanks to William Clark from Magic-Eye!); for the original newspaper-scan used in the disparity-calculations just click at the disparity-map.

If you find other Magic-Eyes on the web, you can try to process them at the advanced Stereo-Processing Page.


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