Stereo Vision For Automated Image-Based Rendering


Chan, Sylvia Oi Yee (2004) Stereo Vision For Automated Image-Based Rendering. Masters thesis, Multimedia University.

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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.

Item Type: Thesis (Masters)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Mr Shaharom Nizam Mohamed
Date Deposited: 10 Dec 2009 08:27
Last Modified: 15 Dec 2009 06:26


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