Evaluation of labelling layout method for image-driven view management in augmented reality

Gang Li, Yue Liu, Yongtian Wang, Zhaoji Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

View1 management techniques are commonly used for the optimization of labelling layout of objects in augmented reality systems, in which penalty function is an effective method to get the optimal positions of labels. In this paper, an image-driven view management method to superimpose 2D labels to the objects under indoor environments such as sculpture and toy by minimizing penalty function is studied. A new penalty function is proposed to change the orientation of each leader line in the penalty elements and a modified search space method is integrated to improve the quality of labelling layout. Experiments are conducted to evaluate the labelling layout optimized by different penalty functions under different experiment conditions and the comparison of experimental results between different penalty functions shows that the proposed method represents the best results in terms of avoiding occlusion and efficiency to get the optimal layout.

Original languageEnglish
Title of host publicationProceedings of the 29th Australian Computer-Human Interaction Conference
Subtitle of host publicationHuman-Nature, OzCHI 2017
EditorsMargot Brereton, Dhaval Vyas, Alessandro Soro, Bernd Ploderer, Jenny Waycott, Ann Morrison
PublisherAssociation for Computing Machinery
Pages266-274
Number of pages9
ISBN (Electronic)9781450353793
DOIs
Publication statusPublished - 28 Nov 2017
Event29th Australian Computer-Human Interaction Conference, OzCHI 2017 - Brisbane, Australia
Duration: 28 Nov 20171 Dec 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference29th Australian Computer-Human Interaction Conference, OzCHI 2017
Country/TerritoryAustralia
CityBrisbane
Period28/11/171/12/17

Keywords

  • Augmented reality
  • Labelling
  • Penalty function
  • Search space
  • View management

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