Kajo⌘ is a small raytracer that renders images using multiple importance sampling. This is a variant of the Monte Carlo integration technique in which we compute samples from an integral using several techniques and combine them to get a better estimate of the actual value. In a raytracer this can help to reduce computation time and alleviate noise in the final image without introducing bias.
Kajo currently only supports planes, spheres and spherical lights. There are two rendering backends:
Kajo is licensed under the MIT open source license.
⌘ "kajo" means a glimmer of light in Finnish.
Install dependencies, e.g., on Ubuntu/Debian:
apt-get install cmake libsdl1.2-dev libsdl-ttf2.0-dev libglew-dev
Check out a copy of the source code:
git clone https://github.com/skyostil/kajo.git
Prepare the build files with cmake:
mkdir kajo/build; cd kajo/build; cmake ..
In the build directory:
Using the OpenGL renderer:
renderer/renderer -r gl ../data/spheres.json