Open Access
Issue
JNWPU
Volume 37, Number 3, June 2019
Page(s) 496 - 502
DOI https://doi.org/10.1051/jnwpu/20193730496
Published online 20 September 2019
  1. RadkowskiR. Augmented Reality-Based Manual Assembly Support with Visual Features for Different Degrees of Difficulty[J]. International Journal of Human-Computer Interaction, 2015, 31(5): 337-349 [Article] [CrossRef] [Google Scholar]
  2. BoothroydG. Product Design for Manufacture and Assembly[J]. Computer-Aided Design, Elsevier, 1994, 26(7): 505-520 [Article] [Google Scholar]
  3. LiuJianhua. Digital Assembly Technology in Military Industry[J]. Defense Manufacturing Technology, 2011(4): 5-7 [Article] [Google Scholar]
  4. BoothroydG. Product Design for Manufacture and Assembly[J]. Computer Aided Design, 1994, 26(7): 505-520 [Article] [Google Scholar]
  5. Jovanovic V. Ergonomic Design of Manual Assembly Workplaces[C]//Annual ASEE IL/IN Section Conference, 2007 [Google Scholar]
  6. WangYue, ZhangShusheng, BaiXiaoliang. A 3D Tracking and Registration Method Based on Point Cloud and Visual Features for Augmented Reality Aided Assembly System[J]. Journal of Northwestern Polytechnical University, 2019, 37(1): 143-151 [Article] [CrossRef] [Google Scholar]
  7. Kato H, Billinghurst M. Marker Tracking and HMD Calibration for a Video Based Augmented Reality Conferencing System[C]//Procedings of the 2nd IEEE and ACM International Workshop on Augmented Reality, 1999 [Google Scholar]
  8. Moreno-Noguer F, Lepetit V, Fua P. Accurate Non-Iterative O(n) Solution to the PnP Problem[C]//IEEE International Conference on Computer Vision, 2007: 1-8 [Google Scholar]
  9. LepetitV Moreno-NoguerF FuaP. EPnP:an Accurate O(n) Solution to the PnP Problem[J]. International Journal of Computer Vision, 2009, 81(2): 155-166 [Article] [CrossRef] [Google Scholar]
  10. Fiala M. Artag, A Fiducial Marker System Using Digital Techniques[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005: 590-596 [Google Scholar]
  11. WangX, OngS K, NeeA Y C. A Comprehensive Survey of Augmented Reality Assembly Research[J]. Advances in Manufacturing, 2016, 4(1): 1-22 [CrossRef] [Google Scholar]
  12. Zhou F, Duh H-L B M. Trends in Augmented Reality Tracking, Interaction and Display: a Review of ten Years in ISMAR[C]//Proceedings from ISMAR 7th IEEE/ACM International Symposium: Mixed and Augmented Reality, 2008: 193-202 [Google Scholar]
  13. Bimber O. Enabling View-Dependent Stereoscopic Projection in Real Environments[C]//Proceedings of the Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality, 2005: 14-23 [Google Scholar]
  14. HendersonS FeinerS. Exploring the Benefits of Augmented Reality Documentation for Maintenance and Repair[J]. IEEE Trans on Visualization and Computer Graphics, 2011, 17(10): 1355-1368 [Article] [CrossRef] [Google Scholar]
  15. WangZenglei, ZhangShusheng, BaiXiaoliang. Augmented Reality Based Product Blind Area Assembly Assistance[J]. Manufacturing Automation, 2019, 41(1): 29-35 [Article] [Google Scholar]
  16. OhtsuN. A Threshold Selection Method from Gray-Level Histograms[J]. IEEE Trans on Man Cybernetics, 1979, 9(1): 62-66 [Article] [Google Scholar]
  17. YanBei, WangBin, LiYuan. Optimal Ellipse Fitting Method Based on Least-Square Principle[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(3): 295-298 [Article] [Google Scholar]

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