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K. Ansari, S. Amirshahi, S. Moradian (2006)
Recovery of reflectance spectra from CIE tristimulus values using a progressive database selection techniqueColoration Technology, 122
Maloney Maloney (1986)
Evaluation of linear models of surface spectral reflectance with small number of parametersJ Opt Soc Am A, 3
J. Aldeeson, E. Atherton, A. Derbyshire (2008)
Modern Physical Techniques in Colour FormulationJournal of The Society of Dyers and Colourists, 77
F. Imai, M. Rosen, R. Berns (2002)
Comparative Study of Metrics for Spectral Match Quality
R. Ramanath, R. Kuehni, W. Snyder, David Hinks (2004)
Spectral Spaces and Color SpacesColor Research and Application, 29
A. Garcia-Beltran, J. Nieves, J. Hernández-Andrés, J. Romero (1998)
LINEAR BASES FOR SPECTRAL REFLECTANCE FUNCTIONS OF ACRYLIC PAINTSColor Research and Application, 23
E. Allen (1966)
Basic Equations Used in Computer Color MatchingJournal of the Optical Society of America, 56
H. Fairman, M. Brill (2004)
The Principal Components of ReflectancesColor Research and Application, 29
J. Dannemiller (1992)
Spectral reflectance of natural objects: how many basis functions are necessary?Journal of The Optical Society of America A-optics Image Science and Vision, 9
Boris Sluban (1993)
Comparison of colorimetric and spectrophotometric algorithms for computer match predictionColor Research and Application, 18
Shahram Peyvandi, S. Amirshahi (2006)
The metamerism potentiality of a color recipeColor Research and Application, 31
Di-yuan Tzeng, R. Berns (2005)
A review of principal component analysis and its applications to color technologyColor Research and Application, 30
McGinnis McGinnis (1967)
Spectrophotometric color matching with the least square techniqueColor Eng, 5
Park Park, Stearn Stearn (1944)
Spectrophotometric formulationJ Opt Soc Am, 34
M. Vrhel, R. Gershon, L. Iwan (1994)
Measurement and Analysis of Object Reflectance SpectraColor Research and Application, 19
J. Cohen (1964)
Dependency of the spectral reflectance curves of the Munsell color chipsPsychonomic Science, 1
F. Billmeyer, J. Beasley, J. Sheldon (1960)
Formulation of Transparent Colors with a Digital ComputerJournal of the Optical Society of America, 50
A. Romney, T. Indow (2003)
Munsell reflectance spectra represented in three-dimensional euclidean spaceColor Research and Application, 28
L. Maloney, B. Wandell (1986)
Color constancy: a method for recovering surface spectral reflectance.Journal of the Optical Society of America. A, Optics and image science, 3 1
H. Fairman (1987)
Metameric correction using parameric decompositionColor Research and Application, 12
A new matching strategy based on the equalization of the first three principal component coordinates of sample and target in a 3D eigenvector space is stated. Two series of databases including 1269 specimens of Munsell Color Book and a virtual sample population of textile materials were selected. Their first three basis functions were extracted and considered as axes of eigenvector space. The principal component coordinates of two different collections of textile samples were determined in these spaces and considered as matching criteria. The performance of the proposed algorithm is evaluated by the color difference values under different light sources as well as the root mean square differences of reflectance curves. Results indicate some types of improvements in comparison with previous algorithms in terms of spectral as well as colorimetric accuracy. © 2007 Wiley Periodicals, Inc. Col Res Appl, 33, 10–18, 2008
Color Research & Application – Wiley
Published: Feb 1, 2008
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