Truly selective polygonal mesh hierarchies with error control
Computer Aided Geometric Design - Special issue: Geometry processing
A case for 3D streaming on peer-to-peer networks
Proceedings of the eleventh international conference on 3D web technology
Rendering of large 3D models for online entertainment
Proceedings of the 2006 international conference on Game research and development
Truly selective polygonal mesh hierarchies with error control
Computer Aided Geometric Design - Special issue: Geometry processing
A client-server based view-dependent multiresolution mesh hierarchy
International Journal of Computers and Applications
Progressive streaming of irregular meshes using geometry images
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
Networked Graphics: Building Networked Games and Virtual Environments
Networked Graphics: Building Networked Games and Virtual Environments
MCGIM-based model streaming for realtime progressive rendering
Journal of Computer Science and Technology - Special issue on natural language processing
Predictive Modeling of User Interaction Patterns for 3D Mesh Streaming
International Journal of Information Technology and Web Engineering
| Hi-index | 0.00 |
Multiresolution geometry streaming has been well studiedin recent years. The client can progressively visualizea triangle mesh from the coarsest resolution to the finestone while a server successively transmits detail information.However, the streaming order of the detail data usuallydepends only on the geometric importance, since basicallya mesh simplification process is performed backwardsin the streaming. Consequently, the resolution of the modelchanges globally during streaming even if the client doesnot want to download detail information for the invisibleparts from a given view point.In this paper, we introduce a novel framework for view-dependentstreaming of multiresolution meshes. The transmissionorder of the detail data can be adjusted dynamicallyaccording to the visual importance with respect tothe clientýs current view point. By adapting the truly selectiverefinement scheme for progressive meshes, our frameworkprovides efficient view-dependent streaming that minimizesmemory cost and network communication overhead.Furthermore, we reduce the per-client session data on theserver side by using a special data structure for encodingwhich vertices have already been transmitted to each client.Experimental results indicate that our framework is efficientenough for a broadcast scenario where one server streamsgeometry data to multiple clients with different view points.