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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| Format: | Thesis |
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2004
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| Online Access: | http://shdl.mmu.edu.my/721/ |
| _version_ | 1848789583327657984 |
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| author | Chan, Sylvia Oi Yee |
| author_facet | Chan, Sylvia Oi Yee |
| author_sort | Chan, Sylvia Oi Yee |
| building | MMU Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:59:02Z |
| format | Thesis |
| id | mmu-721 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T17:59:02Z |
| publishDate | 2004 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-7212010-06-29T03:29:11Z http://shdl.mmu.edu.my/721/ Stereo Vision For Automated Image-Based Rendering 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 NonPeerReviewed Chan, Sylvia Oi Yee (2004) Stereo Vision For Automated Image-Based Rendering. Masters thesis, Multimedia University. http://myto.perpun.net.my/metoalogin/logina.php |
| spellingShingle | T351 Mechanical drawing. Engineering graphics Chan, Sylvia Oi Yee Stereo Vision For Automated Image-Based Rendering |
| title | 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_short | Stereo Vision For Automated Image-Based Rendering |
| title_sort | stereo vision for automated image-based rendering |
| topic | T351 Mechanical drawing. Engineering graphics |
| url | http://shdl.mmu.edu.my/721/ http://shdl.mmu.edu.my/721/ |