Adaptive plenoptic sampling

Christopher Gilliam*, Pier Luigi Dragotti, Mike Brookes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Number of pages4
Publication statusPublished - 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 11 Sept 201114 Sept 2011

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011


  • adaptive sampling
  • Image-Based Rendering
  • Plenoptic sampling
  • spectral analysis

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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