Loading...
Please wait, while we are loading the content...
Similar Documents
Adaptive plenoptic sampling.
| Content Provider | CiteSeerX |
|---|---|
| Author | Gilliam, Christopher Dragotti, Pier Luigi Brookes, Mike |
| 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 nonuniformly 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 nonuniform sampling scheme that reconstructs the plenoptic function beyond that of uniform sampling. Index Terms — Plenoptic sampling, Image-Based Rendering, spectral analysis, adaptive sampling |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Adaptive Plenoptic Sampling Plenoptic Function Spectral Analysis Finite Number Image-based Rendering Recent Spectral Analysis Slanted Plane Subject Rate Result Adaptive Sampling Spatial Sampling Rate Smoothly Varying Surface Index Term Plenoptic Sampling Uniform Sampling Piecewise Constant Spatial Sampling Rate |
| Content Type | Text |
| Resource Type | Article |
