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The Python Computer Graphics Kit is a collection of Python modules that
contain the basic types and functions to be able to create 3D computer
graphics images (focusing on Pixar's RenderMan interface).
A collection of Java ports of open source terrain and solar system generation packages. Code has been extensively refactored, extended and documented. GPL License with exception for required libraries.
pd-codelab is a collection of abstractions, patchs and scripts for the Pure Data software made by the French community, notably around the forum http://codelab.fr
Multi-Language Wrapper Collection for the Irrlicht Engine
2licht's aim is to provide a collection of wrappers for the popular Irrlicht Engine (http://irrlicht.sf.net/).
It is still in development; the first wrappers to be released will be the C and Object Pascal interface; followed by a .NET library.
This is a collection of small to mid-sized tools I wrote, mostly in java. this includes an XML-Parser and a 3d engine. Please see the homepage for a closer description
This open-source project aims at creation of a OpenGL 3D stereoscopic algorithms folded as plug-ins into popular 3D modeling and game engine tools, such as Maya, Blender, OGRE, and others.
The Deimos Project is a Java-based game development library collection. Includes Vertex Modeler, a 3D modeler that lets you programatically define models using Java source code. The modeler is also a simple scene graph API.
This Ada-binding to OpenGL aims at providing the latest OpenGL features in a collection of Ada packages.
Hopefully it will evolve into a thick binding if time permits.
A collection of macros for POV-Ray to convert isosurface objects (typically complex and consumes a lot of render time) into simpler mesh objects, increasing render time at the expense of scene parsing time.
PhotoCloud is a tool to browse and a navigate for datasets composed of (a) a collection of registered images and (b) a 3D model over which images are aligned. The 3D model can be a point-cloud, triangle mesh. PhotoCloud is based on a client/server architecture and it is scalable: very large dataset (both in terms of (a) and (b) can be handled.