Principal component analysis, abbreviated PCA, has been an important and useful
mathematical tool in color technology since the 1960s. Its uses have included defining …

Computational Colour Science Using MATLAB 2nd Edition offers a practical, problem-based
approach to colour physics. The book focuses on the key issues encountered in modern …

There are practical reasons to represent a set of reflectance spectra by a limited basis‐
function expansion. Such an expansion is most tractable in color technology applications …

The weighted principal component analysis technique is employed for reconstruction of
reflectance spectra of surface colors from the related tristimulus values. A dynamic …

This study investigates human expectations towards naturalistic colour changes under
varying illuminations. Understanding colour expectations is key to both scientific research on …

Physically based rendering systems often support spectral rendering to simulate light
transport in the real world. Material representations in such simulations need to be defined …

The reflectance spectra of natural and man‐made surfaces are highly constrained. Statistical
analyses have been conducted that confirm that the surface reflectance spectra form a set of …

Most of spectral estimation methods are based on improving the learning‐based procedures
which mainly modify the training sets used by the basic methods. In this article, a new …

The division of Color Space into ten zones, corresponding to the ten Munsell hues, allows a
good reconstruction of surface reflectance spectra using just three eigenvectors, obtained by …

Realistic image synthesis provides principles and techniques for creating realistic imagery
based on models of real-world objects and behaviors. It has widespread applications in 3D …