Information
- Publication Type: Journal Paper with Conference Talk
- Workgroup(s)/Project(s):
- Date: November 2006
- Journal: IEEE Transactions on Visualization and Computer Graphics
- Volume: 12
- Number: 5
- Location: Baltimore, USA
- Lecturer: Peter Rautek
- ISSN: 1077-2626
- Event: IEEE Visualization 2006
- Conference date: October 2006 – November 2006
- Pages: 1085 – 1092
- Keywords: Focus+Context Techniques, Volume Visualization, Illustrative Visualization
Abstract
Caricatures are pieces of art depicting persons or sociological conditions in a non-veridical way. In both cases caricatures are referring to a reference model. The deviations from the reference model are the characteristic features of the depicted subject. Good caricatures exaggerate the characteristics of a subject in order to accent them. The concept of caricaturistic visualization is based on the caricature metaphor. The aim of caricaturistic visualization is an illustrative depiction of characteristics of a given dataset by exaggerating deviations from the reference model. We present the general concept of caricaturistic visualization as well as a variety of examples. We investigate different visual representations for the depiction of caricatures. Further, we present the caricature matrix, a technique to make differences between datasets easily identifiable.Additional Files and Images
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No further information available.BibTeX
@article{Rautek06Vis, title = "Caricaturistic Visualization", author = "Peter Rautek and Ivan Viola and Eduard Gr\"{o}ller", year = "2006", abstract = "Caricatures are pieces of art depicting persons or sociological conditions in a non-veridical way. In both cases caricatures are referring to a reference model. The deviations from the reference model are the characteristic features of the depicted subject. Good caricatures exaggerate the characteristics of a subject in order to accent them. The concept of caricaturistic visualization is based on the caricature metaphor. The aim of caricaturistic visualization is an illustrative depiction of characteristics of a given dataset by exaggerating deviations from the reference model. We present the general concept of caricaturistic visualization as well as a variety of examples. We investigate different visual representations for the depiction of caricatures. Further, we present the caricature matrix, a technique to make differences between datasets easily identifiable.", month = nov, journal = "IEEE Transactions on Visualization and Computer Graphics", volume = "12", number = "5", issn = "1077-2626", pages = "1085--1092", keywords = "Focus+Context Techniques, Volume Visualization, Illustrative Visualization", URL = "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/", }