Image Processing Algorithm for the Manipulation of Object Using 3D Sensor

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Recently, cheap 3D sensor such as Kinect is widely used in diverse applications. In this paper, we use Kinect as the 3D sensor for the object manipulation using robot arm. Our target is insert objects on the horizontal table into the corresponding location on the hole in the vertical plate. First, we find two dominant planes corresponding to the horizontal and vertical table by processing 3D points by Kinect. Then, we find each object on the horizontal table using contour processing. Also, object on the vertical plane is processed using the same algorithm. Finally, object matching is done using Hu invariant moments.

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312-315

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May 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] D. G. Lowe, "Three-dimensional object recognition from single two-dimensional images," Artificial Intelligence, vol. 31, no. 3, (1987), pp.355-395.

DOI: 10.1016/0004-3702(87)90070-1

Google Scholar

[2] K. Okamoto, W. Langer, and P. Mengel, "3D Object Recognition System using Laser Range Finder," Fifth International Conference on Advanced Robotics, vol. 2, (1991), pp.1245-1250.

DOI: 10.1109/icar.1991.240384

Google Scholar

[3] R. B. Rusu, "Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments," Articial Intelligence, (2010), vol. 24, pp.345-348.

DOI: 10.1007/s13218-010-0059-6

Google Scholar

[4] R. B. Rusu and S. Cousins, "3D is here: Point Cloud Library (PCL)," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, 2011.

DOI: 10.1109/icra.2011.5980567

Google Scholar

[5] M. A. Fischler and R. C. Bolles, "Random sample concensus: A paradigm for model fitting with applications to image analysis and automated cartography, " Communications of the Association for Computing Machinery , vol. 24, (1981), pp.381-395.

DOI: 10.1145/358669.358692

Google Scholar

[6] M. Hu, "Visual pattern recognition by moment invariants, " IRE Transactions on Information Theory, vol. 8, (1962), pp.179-187.

DOI: 10.1109/tit.1962.1057692

Google Scholar