Open Access
Issue |
MATEC Web Conf.
Volume 75, 2016
2016 International Conference on Measurement Instrumentation and Electronics (ICMIE 2016)
|
|
---|---|---|
Article Number | 07003 | |
Number of page(s) | 5 | |
Section | Artificial Intelligence | |
DOI | https://doi.org/10.1051/matecconf/20167507003 | |
Published online | 01 September 2016 |
- C. Harrison, “A review of automation in manufacturing illustrated by a case study on mixed-mode hot forging,” Manufacturing Review (2014) [Google Scholar]
- K. Rahardja and A. Kosaka, “Vision-Based Bin-Picking: Recognition and Localization of Multiple Complex Objects Using Simple Visual Cues,” Proc. of the Intl’ Conf. on Intelligent Robots and Systems, 1448–1457 (1996) [Google Scholar]
- J. Rodrigues, J. Kim, M. Furukawa, J. Xavier, P. Aguiar, T. Kanade, “6D pose estimation of textureless shiny objects using random ferns for binpicking,” Proc. of the Intl’ Conf. on Intelligent Robots and Systems, 3334–3341 (2012) [Google Scholar]
- M. Liu, O. Tuzel, A. Veeraraghavan, Y. Taguchi, T. Marks, R. Chellappa, “Fast Object Localization and Pose Estimation in Heavy Clutter for Robotic Bin Picking,” The International Journal of Robotics Research, 31(8): 951–973 (2012) [CrossRef] [Google Scholar]
- F. Boughorbel, Y. Zhang, S. Kang, U. Chidambaram, B. Abidi, and A. Koschan, “Laser ranging and video imaging for bin picking,” Assembly Automation, 23(1): 53–59 (2003) [CrossRef] [Google Scholar]
- S. Fuchs, S. Haddadin, M. Keller, S. Parusel, A. Kolb and M. Suppa, “Cooperative Bin-Picking with Time-of-Flight Camera and Impedance Controlled DLR Lightweight Robot III,” Proc. of the Intl’ Conf. on Intelligent Robots and Systems, 4862–4867 (2010) [Google Scholar]
- D. Scharstein and R. Szeliski, “High-Accuracy Stereo Depth Maps Using Structured Light,” Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (2003) [Google Scholar]
- C. Papazov, S. Haddadin, S. Parusel, K. Krieger, D. Burschka, “Rigid 3D Geometry Matching for Grasping of Known Objects in Cluttered Scenes,” International Journal of Robotics Research, 31(4): 538–553 (2012) [CrossRef] [Google Scholar]
- S. Park and S. Lim, “Template-Based Reconstruction of Surface Mesh Animation from Point Cloud Animation,” ETRI Journal, 36(6): 1008–1015 (2014) [CrossRef] [Google Scholar]
- K. Kim, S. Kang, J. Lee, J. Kim, “Vision Based Bin Picking for Industrial Robot,“ Advanced Science and Technology Letters, 64: 14–17 (2014) [Google Scholar]
- A. G. Andreou and Z. K. Kalayjian, “Polarization Imaging: Principles and Integrated Polarimeters,” IEEE Sensors Journal, 2(6):566–576 (2002) [CrossRef] [Google Scholar]
- P. Maragos, “Morpohological Filtering for Image Enhancement and Feature Detection,” Image & Video Processing Handbook (2nd ed.) (2004) [Google Scholar]
- D. Lowe, “Object recognition from local scale-invariant features,” Proc. of the Intl’ Conf. on Computer Vision, 1150–1157 (1999) [Google Scholar]
- D. Scharstein and R. Szeliski, “A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms,” International Journal of Computer Vision, 47(1): 7–42 (2002) [CrossRef] [Google Scholar]
- G. Fantoni, M. Santochi, G. Dini, K. Tracht, B. Scholz-Reiter, J. Fleischer, T.K. Lien, G. Seliger, G. Reinhart, J. Franke, H.N. Hansen, A. Verl, “Grasping devices and methods in automated production processes,” CIRP Annals - Manufacturing Technology, 63(2): 679–701 (2014) [CrossRef] [Google Scholar]
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