Paper Info
Title
A closed-form expression for the bandwidth of the plenoptic function under finite field of view constraints
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 examine the bandwidth of the plenoptic function when both the field of view and the scene width are finite. This analysis is carried out on two planar Lambertian scenes, a fronto-parallel plane and a slanted plane, and in both cases the texture is bandlimited. We derive an exact closed-form expression for the plenoptic spectrum of a slanted plane with sinusoidal texture. We show that in both cases the finite constraints lead to band-unlimited spectra. By determining the essential bandwidth, we derive a sampling curve that gives an adequate camera spacing for a given distance between the scene and the camera line.
Year
DOI
Venue
2010
10.1109/ICIP.2010.5650038
Image Processing
Keywords
Field
DocType
cameras,image reconstruction,image sampling,image texture,rendering (computer graphics),camera,closed form expression,fronto-parallel plane,image based rendering,image reconstruction,image texture,planar Lambertian scenes,plenoptic function,plenoptic spectrum,sinusoidal texture,spatial sampling rate,spectral analysis,Image-Based Rendering,Plenoptic function,bandwidth,sampling,spectral analysis
Field of view,Computer vision,Essential bandwidth,Bandlimiting,Image texture,Computer science,Closed-form expression,Bandwidth (signal processing),Artificial intelligence,Image-based modeling and rendering,Rendering (computer graphics)
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-7993-1
978-1-4244-7993-1
7
PageRank 
References 
Authors
0.60
2
3
Name
Order
Citations
PageRank
Christopher Gilliam1181.50
Dragotti, P.L.251239.29
Mike Brookes3478.65