In response to Ben Goertzel's question about obtaining 3D data by an optical
method and processing it in an artificial "visual cortex."

Here is a web site of suppliers of devices that measure 3D data. 

http://www.simple3d.com/

Polhemus is widely recognised as the market leader in position sensing so,
if you have $20K to burn, check out http://www.polhemus.com/fastscan.htm

Alternatively "structured light" is a cheaper option than "laser scanning".
Google also gives good hits with "3D scanners." However, I have no
particular advice to give about which device would be most suitable for you.

If you do buy a device you are certainly going to want integrated software
that returns a triangular mesh for the measured surface. But if you want to
connect meshes up into 2D manifolds to model the 2D surface of a 3D object,
then you are going to have to work quite hard at joining all the surfaces up
so that there are no gaps. You will also have to cut out self-intersecting
parts of the mesh. All of this is quite a lot of topology for a programmer
or a "visual cortex" to do. But there is an easier way.

I am a fan of simplifying things. I would supply each triangle of the mesh
with a vertex in depth, making a model using individual tetrahedra. Just
adding tetrahedra together, even with gaps and self-intersections, still
gives a topological valid result with no processing. It looks good too, but
risks using far more tetrahedra than a manifold.

If you think that the human brain uses masses of memory and simple
computations then my suggestion might put you on a good path. It will
certainly save you many sleepless nights of programming.

I hope this helps, and I am sorry I was too busy to answer earlier.

James Anderson

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