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ThinkMind // FASSI 2017, The Third International Conference on Fundamentals and Advances in Software Systems Integration // View article fassi_2017_1_20_80016


3D Web-Based Shape Modelling: Data Extraction and Delivery

Authors:
Ali Abdallah

Keywords: Adaptive architecture; 3D shape modelling; compression; mesh; image streams.

Abstract:
Despite the rapid development of hardware including specialized graphical processing units (GPUs) and widening the bandwidth, truly interactive applications allowing for near real-time visualization without loss of a visual quality are still to become a reality. Building up an adaptive 3D Web-based shape modelling environment enables us to design platform independent 3D objects in a collaborative manner, yet delivering compressed meshes, and images to clients with different platforms and devices in an optimized manner is still a difficult job. In this paper, we explore the crucial issues of delivering 3D objects. We focus on data transmission over different transmission bandwidths between servers delivering the service and clients with different platform devices. Our case study relies on a client-server adaptive architecture, supported by different rendering techniques, and is able to deliver compressed meshes and images. We identify the obstacles in delivering compressed data files as well as image streams, and present results based on bandwidth capacity, storage size, extraction and loading times.

Pages: 5 to 11

Copyright: Copyright (c) IARIA, 2017

Publication date: September 10, 2017

Published in: conference

ISSN: 2519-8475

ISBN: 978-1-61208-587-6

Location: Rome, Italy

Dates: from September 10, 2017 to September 14, 2017

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