Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/146321
Title: Virtual view synthesis through linear processing without geometry
Authors: Kubota A.
Aizawa K.
Chen T. 
Issue Date: 2004
Citation: Kubota A., Aizawa K., Chen T. (2004). Virtual view synthesis through linear processing without geometry. Proceedings - International Conference on Image Processing, ICIP 2 : 3009-3012. ScholarBank@NUS Repository.
Abstract: This paper presents a new approach for virtual view synthesis that does not require any information of scene geometry. Our approach first generates multiple virtual views at the same position based on multiple depths by the conventional view interpolation method. The interpolated views suffer from blurring and ghosting artifacts due to the pixel mis-correspondence. Secondly, the multiple views are integrated into a novel view where all regions are focused. This integration problem can be formulated as the problem of solving a set of linear equations that relates the multiple views. To solve this set of equations, two methods using projection onto convex sets (POCS) and inverse filtering are presented that effectively integrate the focused regions in each view into a novel view. Experimental results using real images show the validity of our methods.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/146321
ISSN: 15224880
Appears in Collections:Staff Publications

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