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Colour matching function learning

Date

Authors

Romero-Ortega, Luis

Robles-Kelly, Antonio

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

In this paper, we aim at learning the colour matching functions making use of hyperspectral and trichromatic imagery. The method presented here is quite general in nature, being data driven and devoid of constrained setups. Here, we adopt a probabilistic

Keywords

Keywords: Calibration charts; Data driven; EM algorithms; Generative model; HyperSpectral; Levenberg-Marquardt; Log-likelihood functions; Matching functions; Maximum a posteriori; Optimisations; Probabilistic formulation; Real world data; Algorithms; Color; Digital

URI

http://hdl.handle.net/1885/68775

Collections

ANU Research Publications

Source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Type

Conference paper

DOI

10.1007/978-3-642-34166-3_35

Restricted until

2037-12-31

Downloads

File

Description

01_Romero-Ortega_Colour_matching_function_2012.pdf (754.01 KB)

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