A New Compact Singularity Function to Predict WCS Color Names and Unique Hues

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Formal Metadata

Title
A New Compact Singularity Function to Predict WCS Color Names and Unique Hues
Title of Series
Part Number
5
Number of Parts
43
Author
Vazquez-Corral, Javier
Finlayson, Graham D.
Vanrell, Maria
License
CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
River Valley TV
Release Date
2011
Language
English
Production Place
Joensuu, Finland

Content Metadata

Subject Area
Abstract
Understanding how colour is used by the human vision system is a widely studied research field. The field, though quite advanced, still faces important unanswered questions. One of them is the explanation of the unique hues and the assignment of color names. This problem addresses the fact of different perceptual status for different colors. Recently, Philipona and O’Regan have proposed a biological model that allows to extract the reflection properties of any surface independently of the lighting conditions. These invariant properties are the basis to compute a singularity index that predicts the asymmetries presented in unique hues and basic color categories psychophysical data, therefore is giving a further step in their explanation. In this paper we build on their formulation and propose a new singularity index. This new formulation equally accounts for the location of the 4 peaks of the World colour survey and has two main advantages. First, it is a simple elegant numerical measure (the Philipona measurement is a rather cumbersome formula). Second, we develop a colour-based explanation for the measure.
Keywords
The 5th European Conference on Colour in Graphics, Imaging
Vision and the 12th International Symposium on Multispectral Colour Science
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  392 ms - page object

Version

AV-Portal 3.11.0 (be3ed8ed057d0e90118571ff94e9ca84ad5a2265)
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