EIGENVECTOR ANALYSIS FOR OPTIMAL FILTERING UNDER DIFFERENT LIGHT SOURCES

Juha Lehtonen, Jussi Parkkinen, Timo Jaaskelainen, Alexei Kamshilin

2009

Abstract

Eigenvectors from Standard Object Colour Spectra (SOCS) set were used with several other spectra sets to find the optimal sampling intervals for optimal number of eigenvectors. The sampling intervals were calculated for each eigenvector separately. The analysis was applied not only for different sets of reflectance spectra, but also for spectra sets under different real light sources and standard illuminations. It is shown that 20 nm sampling interval for eigenvectors from SOCS set can be used for reflectance data and data under such light sources which spectrum is smooth. However, data under peaky real fluorescent light sources and standard F-illuminant require accurate 5 nm or even narrower sampling interval for the first few eigenvectors, but can be wider with some of the others. These eigenvectors from SOCS set are shown to be applicable for the other data sets. The results give guidelines for the required accuracy of eigenvectors under different light sources that can be considered e.g. in eigenvector-based filter design.

Paper Citation

in Harvard Style

Lehtonen J., Parkkinen J., Jaaskelainen T. and Kamshilin A. (2009). EIGENVECTOR ANALYSIS FOR OPTIMAL FILTERING UNDER DIFFERENT LIGHT SOURCES . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 95-100. DOI: 10.5220/0001798700950100

in Bibtex Style

@conference{visapp09,
author={Juha Lehtonen and Jussi Parkkinen and Timo Jaaskelainen and Alexei Kamshilin},
title={EIGENVECTOR ANALYSIS FOR OPTIMAL FILTERING UNDER DIFFERENT LIGHT SOURCES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={95-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001798700950100},
isbn={978-989-8111-69-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - EIGENVECTOR ANALYSIS FOR OPTIMAL FILTERING UNDER DIFFERENT LIGHT SOURCES
SN - 978-989-8111-69-2
AU - Lehtonen J.
AU - Parkkinen J.
AU - Jaaskelainen T.
AU - Kamshilin A.
PY - 2009
SP - 95
EP - 100
DO - 10.5220/0001798700950100