Hifocon: Object and dimensional coherence and correlation in multidimensional visualization

Soon Tee Teoh, Kwan-Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In any multidimensional visualization, some information has to be compromised when projecting multidimensional data to two- or three-dimensional space. We introduce the concepts of dimensional and object coherence and correlation to analyze and classify multidimensional visualization techniques. These concepts are used as principles for our design of Hifocon, a new multidimensional data visualization system.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - First International Symposium, ISVC 2005, Proceedings
Pages235-242
Number of pages8
DOIs
StatePublished - Dec 1 2005
EventFirst International Symposium on Advances in Visual Computing, ISVC 2005 - Lake Tahoe, NV, United States
Duration: Dec 5 2005Dec 7 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3804 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherFirst International Symposium on Advances in Visual Computing, ISVC 2005
CountryUnited States
CityLake Tahoe, NV
Period12/5/0512/7/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Teoh, S. T., & Ma, K-L. (2005). Hifocon: Object and dimensional coherence and correlation in multidimensional visualization. In Advances in Visual Computing - First International Symposium, ISVC 2005, Proceedings (pp. 235-242). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3804 LNCS). https://doi.org/10.1007/11595755_29