This work portrays a dithering scheme in which a pair of completely
independent gray-level 2D images are merged into one 3D model,
creating an Ortho-picture. The Ortho-picture will look like the first
input set from one view and will identify with the second set from an
orthogonal view. While techniques to reconstruct 3D geometry from
several 2D data sets of the same 2D models are well known, herein we
strive to merge pairs of completely independent 2D input data sets.
The end result of this effort is a regular 3D model of 3D dots that is
automatically synthesized from a pair of two completely independent
pictures or 3D objects.
Given the following two pictures:
The result, etched in glass, is presented as an animated gif (click on the animation to see a better resolution, DIVX codec, AVI animation):
Here are a few more result, shown left to right starting with the two input images and the result etched in glass on the right (click on the animation to see a better resolution, DIVX codec, AVI animation):