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基于ORB和KLT的移动增强现实三维注册算法 被引量:3

Mobile Augmented Reality 3D Registration Algorithm Based on ORB and KLT
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摘要 针对移动设备上现有注册算法速度较慢和实时性较弱的问题,提出一种基于ORB和KLT的移动增强现实三维注册算法,利用ORB进行特征提取和匹配,减少算法时间开销,同时使用改进的KLT算法对特征位置进行预测跟踪,改善移动三维注册算法中的实时性能。实验结果表明,在移动设备上采用ORB和KLT算法,不仅较好地解决移动增强现实三维注册实时性差的问题,同时也能保证有效的匹配性能。 3D registration algorithm is the key technology of augmented reality, as well as the indicator of system performance. Since existing algorithm, such as improved SIFT operator and FAST-SURF operator, is weak on real-time feature, this paper pro- poses an augmented reality 3D registration algorithm based on ORB and KLT, which reduces the time overhead and improves the matching performance. Experimental results show that the new algorithm which running on the mobile device, not only can reduce the time cost but also can ensure efficient matching performance.
出处 《计算机与现代化》 2014年第3期57-60,64,共5页 Computer and Modernization
基金 国家自然科学基金资助项目(61001143)
关键词 智能手机 实时性 特征跟踪 smart mobilephone real-time feature tracking
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参考文献14

  • 1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
  • 2王峻峰,于洪涛,李世其,徐迟.增强现实环境下产品信息标注布局算法研究[J].计算机应用与软件,2011,28(12):92-95. 被引量:2
  • 3Pintaric T. An adaptive thresholding algorithm for the aug- mented reality toolkit l C ]//IEEE International Augmented Reality Toolkit Workshop. 2003:71.
  • 4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
  • 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.
  • 10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:105

二级参考文献45

  • 1朱松立,戴礼荣,宋彦,王仁华.基于角点特征值和视差梯度约束的角点匹配[J].计算机工程与应用,2005,41(34):62-64. 被引量:15
  • 2Ronald T Azuma. A Survey of Augmented Reality [ J ]. Taleopemtors and Virtual Environments 6,1997 (4) :355 - 385.
  • 3Y Shen, S K Ong, A Y C Nee. Productinformation visualization and aug- mentation in collaborative design [ J]. Computer-Aided Design,2008.
  • 4Ronald 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.
  • 5Eric Rose, David Breen. Annotating Real-World Objects Using Augmen- ted Reality[ R]. Technical report ECRC-94-41.
  • 6Saaski 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.
  • 7Michael F Zaeh, Mathey Wiesbeck. A Model for Adaptively Generating Assembly Instructions Using State-based Graphs[ C ]//The 41st CIRP Conference on Manufacturing Systems ,2008.
  • 8Timo 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.
  • 9Brandt S. Maximum likelihood robust regression with known and unknown residual models. In: Proc. of the ECCV 2002. 2002.97-102.
  • 10Murray PTD. The development and comparison of robust methods for estimating the fundamental matrix. Int'l Journal of Computer Vision, 1996. 1-33.

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