Search Results for "client server"
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Showing 10 open source projects for "client server"
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Medusa Engine
A C++ 3D game engine.
The Medusa Engine is a C++ based engine. This engine was used to develop "DarkSpace" a space based MMORTS released in 2001. -
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NAMC - New version is based on Ogre3d, Ogrenewt & Newton game dynamics, and raknet. Slowly becoming an open mmorpg client/server. SVN Version supports PLSM2 for vast terrains and fast scene switching, and DotScene for general configuration of the scene.
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The Virtual World Project aims to create a protocol and the associate client and server that represent a 3 dimensional world where users can share knowledge and their own creative endeavors.
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Mad Manager is a client and a server application that helps you distribute render tasks over a network.
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VisSim is a visual simulator for semi-stationary objects written in C++. The viewer can move around in three dimensional space to view the object from different directions and distances. VisSim uses OpenGL/GLUT and it runs in client-server mode.
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Free 3D Mud Game Development. (can do indoor and outdoor) including 3ds MAX exporter, game, character editor, world builder, lobby server, client
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Dynamic 3D Network Platform is a 3d platform, that streams all needed data over network from a server to a client, and therefor is universal useable. For the developer ONE server for all OS's and for user ONE client for all games/applications.
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Powerful platform for creating networked multiplayer 3D games. The system includes specifications for a client engine and 2 protocols. Demo apps: mud/moo proxy, tetris. Currently uses OpenGL, VRML, java, tcl. Client/server architecture for security.
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These programs allow for a distributed 3D images to span multiple computers using a client/server model and OpenGL.
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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.
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