Cart (Loading....) | Create Account
Close category search window
 

Parallel Remote Rendering of Large 3D Point-Based Models on Mobile Clients

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Fathy, M.E. ; Fac. of Comput. & Inf. Sci., Ain Shams Univ., Cairo, Egypt ; Hussein, A.S. ; Hamad, S.H. ; Abdelaziz, A.H.
more authors

Mobile visualization allows users to visualize data anywhere, anytime, on various mobile clients connected by wireless networks. In this paper, an efficient framework is proposed for the remote rendering of large point-based 3D models represented by QSplats Level-Of-Detail (LOD) on mobile devices. As client-oblivious data model is used, rendering tasks are performed on mobile devices ranging from powerful workstations to PDAs and cell phones. On the server side, the framework renders the scenes of the 3D models via the effective utilization of multicore processor(s). The high-level requirements that guided the formulation of the parallel rendering are (a) the problem domain is highly irregular, motivating the use of low-overhead dynamic load-balancing to effectively utilize the multicore processor(s) and (b) the hidden delays encountered with the multicore processors, e.g. to maintain cache consistency. In this manner, novel dynamic load balancing schemes are introduced to reach the optimum performance of the parallel rendering. These schemes are evaluated through the processing of several 3D models with different sizes. In addition, the hidden delays encountered with the multicore processors are investigated. The proposed framework exhibits remarkable efficiency in rendering 3D models especially for the large and sophisticated ones.

Published in:

Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on

Date of Conference:

28-30 Sept. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.