DocumentCode :
2826830
Title :
Adaptive plenoptic sampling
Author :
Gilliam, Christopher ; Dragotti, Pier Luigi ; Brookes, Mike
Author_Institution :
Electr. & Electron. Eng. Dept., Imperial Coll., London, UK
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
2581
Lastpage :
2584
Abstract :
The plenoptic function enables Image-based rendering (IBR) to be viewed in terms of sampling and reconstruction. Thus the spatial sampling rate can be determined through spectral analysis of the plenoptic function. In this paper we present a method of non-uniformly sampling a scene, with a smoothly varying surface, given a finite number of samples. This method approximates such a scene with a set of slanted planes subject to the constraint of finite number of samples. We use the recent spectral analysis of a single slanted plane to determine a piecewise constant spatial sampling rate for the scene. Finally, we show that this sampling rate results in a non-uniform sampling scheme that reconstructs the plenoptic function beyond that of uniform sampling.
Keywords :
image reconstruction; rendering (computer graphics); spectral analysis; adaptive plenoptic sampling; image based rendering; plenoptic function reconstruction; slanted planes; spectral analysis; Approximation methods; Cameras; Image reconstruction; Nickel; Resource management; Spectral analysis; Surface reconstruction; Image-Based Rendering; Plenoptic sampling; adaptive sampling; spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116192
Filename :
6116192
Link To Document :
بازگشت