Right, that's stereo 3D, using two or more 2D cameras. There are
other methods for achieving 3D in machine vision, though, done
with a single camera using, for example, image triangulation as
I mention briefly here: Just wanted to address your comment on
stereo vision for cameras. To be spacially aware, all you need
is two pictures taken from different positions. To get that, you
can have two cameras spaced at a known distance and compair
synced frames. OR, the computer looks at two successive frames
and, knowing the speed of the car, calculates all of the
distances in the critical part of the scene to the function
running. Typically a function like collision aviodance. As all
our parts get smaller, 3D MV should see a real upswing in usage.
Machine placement tolerances are getting so low (5um), 3D will
be required to compensate for temperature variations in the
parts and equipment. Thanks for the detailed reply, Craig. Your
description of automotive 3D sounds like it's the type where
multiple 2D cameras creat