Recognition of the Stacked Objects for Bin Picking

1H. Kawata, A. Ohya, S. Yuta, W. Santosh, and T. Mori, Development of ultra-small lightweight optical range sensor system, Proceedings of IEEE International Conference on Intelligent Robots and Systems, 2005, pp.3277-3282.10.1109/IROS.2005.1545476 Search in Google Scholar

2A. E. Johnson, M. Hebert, Using spin images for efficient object recognition in cluttered 3D scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.21, 1999, pp.433449.10.1109/34.765655 Search in Google Scholar

3A. S. Mian, M. Bennamoun, and R. A. Owens, A novel representation and feature matching algorithm for automatic pairwise registration of range images, International Journal of Computer Vision, 66(1), 2006, pp.19-40.10.1007/s11263-005-3221-0 Search in Google Scholar

4G. Hetzel, B. Leibe, P.Levi and B. Schiele, 3D Object Recognition from Range Images using Local Feature Histograms, IEEE Computer Vision and Pattern Recognition, vol.2, 2001, pp.394–399. Search in Google Scholar

5S. Gumhold, X. Wang, and R. Macleod, Feature Extraction from Point Clouds, Proceeding of the 10 International Meshing Roundtable, Sandia national Laboratories, 2001, pp..293-305 Search in Google Scholar

6K. Kodani, T. Manabe, and T. Taniguchi, Surface Generation from Point Cloud on Surface of 3D Domain, Proceedings of Computational Engineering Conference, 2003, Vol.8, pp.837-840 Search in Google Scholar

7F. Xu, I. Hagiwara, Developing of registration System for Range Scan Data, Proceedings of the 26th Japan Simulation Conference, 2007, pp.15-118. Search in Google Scholar

8A. E. Johnson, S. B. Kang, Registration and integration of textured 3-D data, Image and Vision Computing, 17, 1999, p.135-147.10.1016/S0262-8856(98)00117-6 Search in Google Scholar

9D. Akca, Matching of 3D surfaces and their intensities, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 62, no. 2, 2007, pp.112–121.10.1016/j.isprsjprs.2006.06.001 Search in Google Scholar

10F. Tombari, S. Salti, and L. D. Stefano, ” Unique Signatures of Histograms for Local Surface Description “, Computer Vision - ECCV, 2010, pp.356-369.10.1007/978-3-642-15558-1_26 Search in Google Scholar

11F. Tombari, L. D. Stefano, “Hough Voting for 3D Object Recognition under Occlusion and Clutter,” IPSJ Computer Vision and Applications, vol.4, 2012, pp.1–10.10.2197/ipsjtcva.4.20 Search in Google Scholar

12R. B. Rusu, N. Blodow, Z. C. Marton, and M.Beetz, Aligning Point Cloud Views using Persistent Feature Histograms, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008, pp.3384-3391.10.1109/IROS.2008.4650967 Search in Google Scholar

13Y. Sun, J. Paik, A. Koschan, D. L. Page, and M. A. Abidi, Point fingerprint: a new 3-D object representation scheme, IEEE Transactions on Systems, Man, and Cybernetics, Part B, 33(4), 2003, pp.712–717.10.1109/TSMCB.2003.81429518238221 Search in Google Scholar

14B. Drost, M. Ulrich, N. Navab, and S. Ilic, Model Globally, Match Locally: Efficient and Robust 3D Object Recognition, IEEE Conference on Computer Vision and Pattern Recognition, 2010, pp.998-1005.10.1109/CVPR.2010.5540108 Search in Google Scholar

15P. Besel, N. McKay, A Method for Registration of 3-D Shapes, IEEE Transaction on Patter Analysis and Machine Intelligence, No.14-2, 1992, pp.239-256.10.1109/34.121791 Search in Google Scholar

16Z. Zhang, Iterative Point Matching for Registration of Free-Form Curves and Surfaces, International Journal of Computer Vision, 13(2), 1994, pp.119-152.10.1007/BF01427149 Search in Google Scholar

17G. Sharp, S. Lee, and D. Wehe, ICP registration using invariant features, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.24-1, 2002, pp.90-102.10.1109/34.982886 Search in Google Scholar

18G. Natassha, I. Leslie, R. Szymon, Geometrically Stable Sampling for the ICP Algorithm, Proceedings of the Fourth International Conference on 3-D Digital Imaging and Modeling(3DIM’03), 2003, pp.260-267. Search in Google Scholar

19L. Silva, R. Olga, L. Kim, Precision Range Image Registration Using a Robust Surface Interpenetration Measure and Enhanced Genetic Algorithms, IEEE Transaction on Pattern Analysis and Machine Intelligence, No.27-5, 2005, pp.762-77.10.1109/TPAMI.2005.10815875797 Search in Google Scholar