Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/22801
Title: Collaborative visualization environment using P2P technology and ellipsoidal mesh partitioning
Authors: GANESAN SUBRAMANIAM
Keywords: Mesh Partitioning, Distributed, Parallel Rendering, Sort-Last
Issue Date: 25-Aug-2006
Source: GANESAN SUBRAMANIAM (2006-08-25). Collaborative visualization environment using P2P technology and ellipsoidal mesh partitioning. ScholarBank@NUS Repository.
Abstract: A common technique to perform distributed (or parallel) rendering of a single frame is to break up a 3D scene and share the rendering load across multiple machines (called the rendering agents). The rendered sub-images from each machine are then composited on a single machine (called the compositor) and displayed on the screen (or saved to a file). The end result is an overall improvement in per frame render times for large and complex 3D models. However, this technique suffers from 2 major performance bottlenecks. Firstly, communication between the rendering agents and the compositor is heavy since depth information is also transferred with the rendered sub-images for every frame. Secondly, composition of all the sub-images from every rendering agent is an expensive process as every pixel has to be subjected to depth comparison. In this thesis, we propose a mesh partitioning algorithm (called Ellipsoidal Mesh Partition) and a mesh distribution algorithm (called Context Aware Mesh Partition) that eliminate the need for depth information for the compositing of the rendered sub- images. This reduces the compositing complexity. The key to both algorithms, is to break up a 3D mesh based on its unique features into smaller connected sub-meshes. If each sub-mesh is rendered by exactly one unique rendering agent, the composition of the rendered results will be equivalent to "piecing together a jigsaw puzzle". In other words, the compositing cost using our distributed rendering algorithm is reduced tremendously. Despite a minor (negligible) degradation in the final composited image, our results show an overall 40% performance improvement. Thus, we recommend this solution for use in distributed polygonal rendering applications and systems.
URI: http://scholarbank.nus.edu.sg/handle/10635/22801
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Collaborative Visualization Environment Thesis - 2011 D2.pdf5.81 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

224
checked on Jan 13, 2018

Download(s)

171
checked on Jan 13, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.