期刊文献+

增强现实环境下产品信息标注布局算法研究 被引量:2

RESEARCH ON PRODUCT LABEL LAYOUT ARITHMETIC IN AUGMENTED REALITY
下载PDF
导出
摘要 针对增强现实条件下标注布局复杂多变的特点,提出在标注算法中加入预分布过程以提高算法效率,增强算法稳定性,并通过实验加以验证。分析增强现实中信息标注的问题类型,指出解决该类问题的思路,并阐述改进算法的实现过程,选择相关的参数,进行多次验证实验,并对结果进行分析,找出影响产品布局算法实现效率的因素,并使问题得到较好的解决。算法在解决信息标注问题上完全可行。 Aiming at the complexity and changeability characteristics of label layout in augmented reality,the paper supposes to add a pre-distribution process into label arithmetic to enhance its stability,which is validated by experiments afterwards.The paper analyzes the label problem type in augmented reality,points out an idea for solving that type of problems,illustrates the implementation process of the improved arithmetic,chooses relative parameters,carries out many relative validation experiments,analyzes their results,and finds out the related factors that influence the product layout arithmetic implementation efficiency;therefore the problem is well solved with satisfactory results.The arithmetic is absolutely applicable to solving the label problem.
出处 《计算机应用与软件》 CSCD 2011年第12期92-95,104,共5页 Computer Applications and Software
基金 国家"十一五"基础科研项目(B1420060173)
关键词 增强现实 信息标注算法 预分布 效率 稳定性 Augmented reality Label arithmetic Pre-distribution Efficiency Stability
  • 相关文献

参考文献7

  • 1Ronald T Azuma. A Survey of Augmented Reality [ J ]. Taleopemtors and Virtual Environments 6,1997 (4) :355 - 385.
  • 2Y Shen, S K Ong, A Y C Nee. Productinformation visualization and aug- mentation in collaborative design [ J]. Computer-Aided Design,2008.
  • 3Ronald Azuma,Chris Furmanski. Evaluating Label Placement for,Aug- mented Reality View Management [ C ]//Proceedings of the Second IEEE and ACM International Symposium on Mixed and Augmented Re- ality,2003 IEEE.
  • 4Eric Rose, David Breen. Annotating Real-World Objects Using Augmen- ted Reality[ R]. Technical report ECRC-94-41.
  • 5Saaski J, Salonen T, Hakkarainen M, et al. International Federation for Information Processing, Volume 260, Micro-Assembly Technologies and Applications [ M ]. Boston : Springer,2008 : 395 - 404.
  • 6Michael F Zaeh, Mathey Wiesbeck. A Model for Adaptively Generating Assembly Instructions Using State-based Graphs[ C ]//The 41st CIRP Conference on Manufacturing Systems ,2008.
  • 7Timo Gotzelmann, Marcel Gotze, Kamran Ali, et al. Annotating Images through Adaptation: An Integrated Text Authoring and Illustration Framework[ J]. Journal of WSCG ISSN 1213 -6972 ISBN 978 - 80 - 86943 - 00 - 8.

同被引文献21

  • 1陈付幸,王润生.基于预检验的快速随机抽样一致性算法[J].软件学报,2005,16(8):1431-1437. 被引量:106
  • 2常勇,何宗宜.基于ARToolKit的地下管网增强现实系统研究[J].计算机工程与应用,2005,41(29):196-199. 被引量:10
  • 3管涛,李利军,王乘.增强现实开发工具ARDK的研究与应用[J].计算机工程与应用,2006,42(19):84-86. 被引量:4
  • 4Pintaric T. An adaptive thresholding algorithm for the aug- mented reality toolkit l C ]//IEEE International Augmented Reality Toolkit Workshop. 2003:71.
  • 5Ke Y, Sukthankar R. PCA-SIFT: A more distinctive repre- sentation for local image descriptors [ C ]// Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2004:506-513.
  • 6Bay H, Tuytelaars T, Van Cool L. SURF: Speeded up ro- bust features[ C ]//European Conference on Computer Vi- sion. 2006:404-417.
  • 7Rublee E, Rabaud V, Konolige K, et al. ORB: An effi- cient alternative to SIFT or SURF[ C]//2011 IEEE Inter- national Conference on Computer Vision (ICCV). 2011 2564-2571.
  • 8Rosten E, Drummond T. Machine learning for high-spee: corner detection[ C ]// European Conference on Compute1 Vision. 2006:430-443.
  • 9Calonder M, Lepetit V, Strecha C, et al. Brief: Binary ro- bust independent elementary features [ C ]// The 11 th Eu. ropean Conference on Computer Vision. 2010:778-792.
  • 10Wagner D, Reitmayr G, Mulloni A, et al. Real-time de- tection and tracking for augmented reality on mobile phones [J]. IEEE Transactions on Visualization and Computer Graphics, 2010,16(3 ) :355-368.

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部