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Permanent link (DOI): https://doi.org/10.7939/R3F766J26

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Motion Data Beyond Animation Open Access

Descriptions

Other title
Subject/Keyword
motion
multimedia
compression
transmission
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Salzvedel Furtado Junior, Antonio Carlos
Supervisor and department
Basu, Anup (Computing Science)
Cheng, Irene (Computing Science)
Examining committee member and department
Elmallah, Ehab (Computing Science)
Sander, Joerg (Computing Science)
Basu, Anup (Computing Science)
Cheng, Irene (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2016-09-20T07:40:42Z
Graduation date
2016-06:Fall 2016
Degree
Master of Science
Degree level
Master's
Abstract
Motion capture (MoCap) data has always been one of the most important components in the entertainment industry, being widely employed in animated movies and games. Given technological advancements in motion capture technologies, it has been successfully applied to other areas, such as surgical assessment, elderly monitoring and surveillance systems. As capture technologies are further developed, and human kinematic models are commonly employed in different fields, new issues regarding data optimization arise.In this thesis, we present novel methods that optimize the use of MoCap data in three distinct situations: unreliable network transmission, data compression and human identification. These methods assist MoCap-based applications outside the traditional animation scope, and become relevant as data format is standardized.
Language
English
DOI
doi:10.7939/R3F766J26
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
Citation for previous publication
Antonio Carlos Furtado, Irene Cheng, Frederic Dufaux, and Anup Basu, Robust Transmission of Motion Capture Data using Interleaved LDPC and Inverse Kinematics , EG 2016 - Short Papers (T. Bashford-Rogers and L. P. Santos, eds.), The Eurographics Association, 2016.

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