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Surface plenoptic function: a tool for the sampling analysis of image-based rendering

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2 Author(s)
Cha Zhang ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Tsuhan Chen

In this paper, we introduce the 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.

Published in:

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:4 )

Date of Conference:

6-10 April 2003