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Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

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Published on: July 21, 2018

On the bandwidth of the plenoptic function.

Minh N Do¹, Davy Marchand-Maillet, Martin Vetterli

¹Department of Electrical and Computer Engineering, Coordinated Science Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. minhdo@illinois.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|August 11, 2011

Summary

This summary is machine-generated.

The plenoptic function (POF) is generally not band-limited for textured surfaces, requiring analysis of surface slope for bandwidth estimation. This research provides rules for quantifying essential POF bandwidth in computer vision and graphics applications.

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Area of Science:

Computer Vision
Computer Graphics
Signal Processing

Background:

The plenoptic function (POF) is crucial for image/video processing, vision, and graphics, particularly in image-based rendering.
Characterizing the bandwidth of the POF is essential for efficient sampling and interpolation in these applications.

Purpose of the Study:

To analyze the bandwidth properties of the plenoptic function for scenes with textured surfaces on smooth objects.
To derive methods for estimating the essential bandwidth of the POF in such scenarios.

Main Methods:

Modeling scenes with band-limited signals (textures) on smooth surfaces.
Applying multidimensional signal processing formalisms.
Analyzing the impact of scene geometry (depth, surface slope) on POF bandwidth.

Main Results:

The plenoptic function is generally not band-limited for non-flat surfaces.
Essential POF bandwidth depends on signal frequency, depth range, and maximum surface slope.
Quantified necessary sampling rates for accurate POF representation.

Conclusions:

Surface geometry, specifically slope, significantly influences plenoptic function bandwidth.
Developed a framework to understand and quantify POF bandwidth, aiding in efficient data acquisition and processing for computer vision and graphics.