Adaptive plenoptic sampling

Christopher Gilliam; Pier Luigi Dragotti; Mike Brookes

doi:10.1109/ICIP.2011.6116192

Adaptive plenoptic sampling

Christopher Gilliam^*, Pier Luigi Dragotti, Mike Brookes

^*Corresponding author for this work

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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.

Original language	English
Title of host publication	ICIP 2011
Subtitle of host publication	2011 18th IEEE International Conference on Image Processing
Pages	2581-2584
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2011.6116192
Publication status	Published - 2011
Event	2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium Duration: 11 Sept 2011 → 14 Sept 2011

Publication series

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

Conference

Conference	2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/Territory	Belgium
City	Brussels
Period	11/09/11 → 14/09/11

Keywords

adaptive sampling
Image-Based Rendering
Plenoptic sampling
spectral analysis

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2011.6116192

Cite this

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title = "Adaptive plenoptic sampling",

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 = "adaptive sampling, Image-Based Rendering, Plenoptic sampling, spectral analysis",

author = "Christopher Gilliam and Dragotti, {Pier Luigi} and Mike Brookes",

year = "2011",

doi = "10.1109/ICIP.2011.6116192",

language = "English",

isbn = "9781457713033",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "2581--2584",

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note = "2011 18th IEEE International Conference on Image Processing, ICIP 2011 ; Conference date: 11-09-2011 Through 14-09-2011",

}

Gilliam, C, Dragotti, PL & Brookes, M 2011, Adaptive plenoptic sampling. in ICIP 2011: 2011 18th IEEE International Conference on Image Processing., 6116192, Proceedings - International Conference on Image Processing, ICIP, pp. 2581-2584, 2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, 11/09/11. https://doi.org/10.1109/ICIP.2011.6116192

TY - GEN

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AU - Gilliam, Christopher

AU - Dragotti, Pier Luigi

AU - Brookes, Mike

PY - 2011

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N2 - 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.

AB - 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.

KW - adaptive sampling

KW - Image-Based Rendering

KW - Plenoptic sampling

KW - spectral analysis

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U2 - 10.1109/ICIP.2011.6116192

DO - 10.1109/ICIP.2011.6116192

M3 - Conference contribution

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SN - 9781457713033

T3 - Proceedings - International Conference on Image Processing, ICIP

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BT - ICIP 2011

T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011

Y2 - 11 September 2011 through 14 September 2011

ER -

Adaptive plenoptic sampling

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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