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Permanent link (DOI): https://doi.org/10.7939/R3DQ16

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3D Point Cloud Transmission and Visualization Open Access

Descriptions

Other title
Subject/Keyword
3D Point Cloud
Transmission
Visualization
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Chen,Feng
Supervisor and department
Basu, Anup (Computing Science)
Cheng, Irene (Computing Science)
Examining committee member and department
Basu, Anup (Computing Science)
Ray, Nilanjan (Computing Science)
Cheng, Irene (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2014-09-29T09:18:58Z
Graduation date
2014-11
Degree
Master of Science
Degree level
Master's
Abstract
The need for increasingly high resolution 3D models and the cost in processing high resolution polygonal meshes have made 3D point clouds an alternative for many researchers in recent years. Considerable research has been devoted to various areas of point clouds. This thesis presents three studies on point cloud transmission, visualization respectively. The first study designs a metric to evaluate each layer's quality contribution to the decoding result of the progressively compressed 3D point-based model. With this metric, the rendering quality of a reconstructed 3D model degrades more gracefully as the packet-loss rate increases. The second study proposes a new method for incorporating 3D point cloud models into multi-viewpoint video. With this method, 3D point clouds can be seamlessly inserted into a multi-viewpoint video and a realistic effect can be obtained. The third study presents a hierarchical RBF based approach to interactively visualize 3D point cloud. This aids users to achieve better resolution in a Region of Interest(ROI) without having to transmit and render the entire object in high detail.
Language
English
DOI
doi:10.7939/R3DQ16
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
Feng Chen, Irene Cheng and Anup Basu, "Distortion Metric for Robust 3D Point Cloud Transmission" IEEE International Conference on Multimedia Expo (ICME), 2009Feng Chen, Irene Cheng and Anup Basu, "Integrating 3D Point Clouds with Multi-Viewpoint Video", 3DTV Conference, 2009Feng Chen, Irene Cheng and Anup Basu, "Demo Paper: Interactive Visualization of 3D Point Cloud using RBF Based Representation", IEEE International Conference on Multimedia Expo (ICME), 2013

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