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

Gang Li, Yue Liu, Yongtian Wang, Zhaoji Xu

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Proceedings of the 29th Australian Computer-Human Interaction Conference
主期刊副标题Human-Nature, OzCHI 2017
编辑Margot Brereton, Dhaval Vyas, Alessandro Soro, Bernd Ploderer, Jenny Waycott, Ann Morrison
出版商Association for Computing Machinery
266-274
页数9
ISBN(电子版)9781450353793
DOI
出版状态已出版 - 28 11月 2017
活动29th Australian Computer-Human Interaction Conference, OzCHI 2017 - Brisbane, 澳大利亚
期限: 28 11月 20171 12月 2017

出版系列

姓名ACM International Conference Proceeding Series

会议

会议29th Australian Computer-Human Interaction Conference, OzCHI 2017
国家/地区澳大利亚
Brisbane
时期28/11/171/12/17

引用此