Stereo Vision For Automated Image-Based Rendering

This research examines the techniques and methodology to automate Image-Based Rendering especially for the selection of significant features and solving the correspondence problem. We have shown that a strategy utilizing a range of image processing techniques is suitable for obtaining a good set of...

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Main Author: Chan, Sylvia Oi Yee
Format: Thesis
Published: 2004
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id my-mmu-ep.721
record_format uketd_dc
spelling my-mmu-ep.7212010-06-29T03:29:11Z Stereo Vision For Automated Image-Based Rendering 2004-02 Chan, Sylvia Oi Yee T351 Mechanical drawing. Engineering graphics This research examines the techniques and methodology to automate Image-Based Rendering especially for the selection of significant features and solving the correspondence problem. We have shown that a strategy utilizing a range of image processing techniques is suitable for obtaining a good set of features. Results acquired are also consistent with previous research showing that discriminatory technique is required to obtain better coreespondence matches. The proposed algorithm demonstrated that it can be used to relieve users from stressful trials and errors. View synthesis has been demonstrated as a complement to streo vision as a step towards automated IBR. 2004-02 Thesis http://shdl.mmu.edu.my/721/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic T351 Mechanical drawing
Engineering graphics
spellingShingle T351 Mechanical drawing
Engineering graphics
Chan, Sylvia Oi Yee
Stereo Vision For Automated Image-Based Rendering
description This research examines the techniques and methodology to automate Image-Based Rendering especially for the selection of significant features and solving the correspondence problem. We have shown that a strategy utilizing a range of image processing techniques is suitable for obtaining a good set of features. Results acquired are also consistent with previous research showing that discriminatory technique is required to obtain better coreespondence matches. The proposed algorithm demonstrated that it can be used to relieve users from stressful trials and errors. View synthesis has been demonstrated as a complement to streo vision as a step towards automated IBR.
format Thesis
qualification_level Master's degree
author Chan, Sylvia Oi Yee
author_facet Chan, Sylvia Oi Yee
author_sort Chan, Sylvia Oi Yee
title Stereo Vision For Automated Image-Based Rendering
title_short Stereo Vision For Automated Image-Based Rendering
title_full Stereo Vision For Automated Image-Based Rendering
title_fullStr Stereo Vision For Automated Image-Based Rendering
title_full_unstemmed Stereo Vision For Automated Image-Based Rendering
title_sort stereo vision for automated image-based rendering
granting_institution Multimedia University
granting_department Research Library
publishDate 2004
_version_ 1747829200665968640