Compositing color with texture for multi-variate visualization
Author(s) -
Haleh. H. Shenas,
Victoria Interrante
Publication year - 2005
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
ISBN - 1-59593-201-1
DOI - 10.1145/1101389.1101478
Subject(s) - computer science , visualization , compositing , artificial intelligence , texture (cosmology) , pattern recognition (psychology) , point (geometry) , multivariate statistics , color space , data visualization , computer vision , data mining , mathematics , image (mathematics) , machine learning , geometry
Multivariate data visualization requires the development of effective techniques for simultaneously conveying multiple different data distributions over a common domain. Although it is easy to successfully use color to represent the value of a single variable at a given location, effectively using color to represent the values of multiple variables at the same point at the same time is a trickier business. In this paper, we provide a comprehensive overview of strategies for effectively combining color with texture to represent multiple values at a single spatial location, and present a new technique for automatically interweaving multiple colors through the structure of an acquired texture pattern.
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