Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/146336
Title: Surface plenoptic function: A tool for the sampling analysis of image-based rendering
Authors: Zhang C.
Chen T. 
Issue Date: 2003
Citation: Zhang C., Chen T. (2003). Surface plenoptic function: A tool for the sampling analysis of image-based rendering. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 4 : 768-771. ScholarBank@NUS Repository.
Abstract: In this paper, we introduce surface plenoptic function (SPF) as a tool for the sampling analysis of image-based rendering (IBR). SPF is a plenoptic function defined on the object surface, It can be mapped onto the normal IBR representation via a coordinate transform. By assuming some properties of the SPF, we can provide insightful analysis on the sampling of the IBR representation, for both uniform and non-uniform methods.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/146336
ISSN: 15206149
Appears in Collections:Staff Publications

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