Large Data Sets and 3D Gaussian

Firstly a small fix:

In the post about the 2D gaussian there was a typo:

\$f(2,2) = Ae^{-(\sfrac{2^2+2^2}{1.4^2})}\$

should read

\$f(2,2) = Ae^{-(\frac{2^2+2^2}{2(1.4^2)})}\$ 

this has now been fixed in the original article.



Last night I successfully made my 2048*2048*2048 * 2 bytes data set. The random data was generated using the mersenne twister algorithm with a fixed seed so I can recreate it later if needed. I also created a smaller set of 512x512x512 in order to interactively test my kernels.

Data Sets

After complaining in my last post about not being able to find freely available real world data sets for tomography I managed to find the following sites:

http://www.volvis.org/

http://www.cg.tuwien.ac.at/xmas/

http://radiology.uiowa.edu/downloads/

I've only downloaded one set so far and haven't had a chance to look at it but from the thumbnails on the sites they look good. The Christmas tree model in particular looks like a lot of fun to work on and as a bonus it is huge.