skip to main content
10.1145/1836248.1836288acmconferencesArticle/Chapter ViewAbstractPublication PagesapgvConference Proceedingsconference-collections
poster

Perceptibility of clones in tree rendering

Published:23 July 2010Publication History

ABSTRACT

Instancing cloned models is a powerful technique for reducing the time and space requirements of the storage and visualization of large populations of similar objects [McDonnell et. al. 2008]. This poster presents the results of two perceptual experiments into the application of cloning to plant populations.

References

  1. A. Lindenmayer. 1968. Mathematical Models for Cellular Interactions in Development, I&II. Journal of Theoretical Biology. 1968, pp. 280--315Google ScholarGoogle ScholarCross RefCross Ref
  2. Rachel McDonnell, Michal Larkin, Simon Dobbyn, Steven Collins, Carol OSullivan 2008. Clone Attack! Perception of Crowd Variety. ACM Transactions on Graphics (SIGGRAPH 2008), 27, (3), 26:1--26:8, 2008 Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Perceptibility of clones in tree rendering

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          APGV '10: Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
          July 2010
          171 pages
          ISBN:9781450302487
          DOI:10.1145/1836248

          Copyright © 2010 Copyright is held by the author / owner(s).

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 23 July 2010

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • poster

          Acceptance Rates

          Overall Acceptance Rate19of33submissions,58%
        • Article Metrics

          • Downloads (Last 12 months)1
          • Downloads (Last 6 weeks)0

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader