Title :
Surface plenoptic function: a tool for the sampling analysis of image-based rendering
Author :
Zhang, Cha ; Chen, Tsuhan
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
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.
Keywords :
image representation; image sampling; rendering (computer graphics); IBR representation; SPF; coordinate transform; image-based rendering; nonuniform methods; object surface; sampling analysis; surface plenoptic function; uniform methods; Frequency domain analysis; Image analysis; Image sampling; Layout; Light sources; Performance analysis; Rendering (computer graphics); Sampling methods; Spectral analysis; Surface waves;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1202756
