Greymind Research
- Cosmopolis
- ModelDef exporter/importer for Maya/XNA/C#
- ModelDef is a custom, clean model format for use
in game engines. This was written because the FBX pipeline is buggy and
the shader/material information from Maya was not used to the fullest
extent. Supports multiple UV-sets, tangents, binormals, some custom
attributes like UseAlpha (for alpha-textures) and DrawBackfaces (for
some meshes, like tree leaves). Easy to extend to support more
attributes at a material or any DAG path level.
- Downloads: [Exporter]
[Importer] - updated 2009-11-7
- Scene exporter/importer for Maya/XNA/C#
-
Exports each transform and mesh in the maya scene as
individual ModelDef files and generates an XML that describes how to
recompose the scene. The framework to export more information like
lights, cameras and such are there, but not currently used/maintained
since my pipeline (XNA/ModelDef) doesn't need it. Exports each mesh and its
transform after moving it to the origin to remove absolute values from
the exported ModelDeffile. For use with large levels and scenes.
The importer imports the scene into its own container class.
-
Downloads: [Exporter] [Importer]
- updated 2009-11-7
- Custom-data exporter/importer for Maya/XNA/C#
-
Exports custom data about a character to an XML file.
Currently configured custom data includes exporting player camera and
item mount points. Follows a similar structure to the scene exporter.
Exports idle animation name and animation data if used with the
MoveLister (link soon). For use with characters with animations.
The importer imports the scene into its own container class.
-
Downloads: [Exporter] [Importer]-
updated 2009-10-26
- Publications
- Developing an MMOG as a Data Source and Test Bed for
Social and Behavioral Models
- Michael Zyda, Marc Spraragen, Balakrishnan Ranganathan, Peter Landwehr,
Kathleen Carley
- HSCB 2009
- Links: [Coming soon]
- A Scalable Parallelization of All-Pairs Shortest Path
Algorithm for a High Performance Cluster Environment
- T. Srinivasan, R. Balakrishnan, S. A. Gangadharan, V. Hayawardh
- IEEE CS, ICPADS 2007
- Links: [IEEE
Xplore] [PDF]
- Supervised Grid-Of-Tries: A Novel Approach To
(Packet) Classifier Management
- T. Srinivasan, R. Balakrishnan, S. A. Gangadharan, V. Hayawardh
- Springer’s LNCS, ICDCN 2006
- Links: [SpringerLink]
[PDF]
- Interests
- Artificial Intelligence, Video Games, Networking,
Tools, User Experience
- History, Science Fiction, Music
- Links
- Contact
- Balakrishnan "Balki" Ranganathan