The left statue is made of rough glass , the middle is an imitation of plastic/wax and the right statue is copper (using sopra nk-values).

Full spectral rendering using stochastic progressive photon mapping.

A comparison between pathtracing and sppm after two minutes of rendering. Click the image to see a video-capture of the rendering.

… oh, and everything is GPU based – coded from the ground up (Cuda and OpenCL).

The source code is under the LGPL licence and can be found here. Please acknowledge if you use it for your research. Thanks to Movania Muhammad Mobeen for tidying up the project so it should compile out of the box.

Dirk Fortmeier made this project work in linux using CMAKE. You can find the code for this at https://github.com/fortmeier/CUDA-FE-With-Haptics which also includes haptics interaction.

How we used the model in previous research can be read in the following paper:

Solid mesh registration for radiotherapy treatment planning.
K. Ø. Noe, T.S. Sørensen.
2010 International Symposium on Biomedical Simulation (ISBMS).
Lecture Notes in Computer Science, 2010; 5958: 59-70.
[abstract]

Some videos showing our use can be found here.

Screenshot from our Lightsky ray tracer

We are  playing around with our CUDA ray tracing software. The design philosophy is to create a real-time ray tracing experience that allows the user to play with the visual parameters and get an instant feedback. This is not something revolutionary but ray tracing is such a flexible rendering technique, so the basic software can be used in a lot areas. In this demo the user can change and update the material properties at runtime.

We finally found a decent model .

Refraction and diffuse materials, rendering time 45 sec.

But we still like some good old programmers art. The above image is a rendering that uses ambient occlusion together with classic ray tracing.

No ray tracing post without Sponza!

Screenshot from the demo

Here is a tech demo of our Cuda smoke visualizer software. The software demonstrates real-time interaction and visualization with a smoke data set. It is possible to adjust several parameters such as density and lighting position. To download press HERE.

Additional screenshot from the demo

Photon mapping

Our first attempt to use photonmapping in our Cuda raytracer, 300 samples pr pixel, 1200×800, final image rendering time 65 secs.

Here is the famous sponza scene in a 400 pixel pr sample rendering, without and with photonmapping. At this moment this takes a few minutes

to render, but we hope to improve on the rendering time when we learn a little more about CUDA.

Nice real-time smoke visualization, rendered by our CUDA tracer including a clear sky model. The smoke dataset was delivered by Michael Bang and Brian Bunch Christensen from the Department of Computer Science, University of Aarhus.