Abstract
In this paper we present a method for approximating complete models of objects with 3D shape primitives, by exploiting common symmetries in objects of daily use. Our proposed approach reconstructs boxes and cylindrical parts of objects from sampled point cloud data, and produces CAD-like surface models needed for generating grasping strategies. To verify the results, we present a set of experimental results using real-world data-sets containing a large number of objects from different views.
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References
Biegelbauer, G., Vincze, M.: Efficient 3D Object Detection by Fitting Superquadrics to Range Image Data for Robot’s Object Manipulation. In: IEEE International Conference on Robotics and Automation (ICRA), Rome, Italy (2007)
Bone, G., Lambert, A., Edwards, M.: Automated Modeling and Robotic Grasping of Unknown Three-Dimensional Objects. In: Proceedings of the 2008 IEEE International Conference on Robotics and Automation, Pasadena, USA (2008)
Collet, A., Berenson, D., Srinivasa, S.S., Ferguson, D.: Object Recognition and Full Pose Registration from a Single Image for Robotic Manipulation. In: IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan (2009)
Fischler, M., Bolles, R.: Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. Comm. of the ACMÂ 24 (1981)
Harada, K., Kaneko, K., Kanehiro, F.: Fast grasp planning for hand/arm systems based on convex model. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan, pp. 1162–1168 (2009)
Klank, U., Zia, M.Z., Beetz, M.: 3D Model Selection from an Internet Database for Robotic Vision. In: International Conference on Robotics and Automation (ICRA), Kobe, Japan (2009)
Lepetit, V., Fua, P.: Keypoint recognition using randomized trees. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(9), 1465–1479 (2006)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91–110 (2004), http://dx.doi.org/10.1023/B:VISI.0000029664.99615.94
Marton, Z.C., Rusu, R.B., Beetz, M.: On Fast Surface Reconstruction Methods for Large and Noisy Datasets. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan (2009)
Marton, Z.C., Rusu, R.B., Jain, D., Klank, U., Beetz, M.: Probabilistic Categorization of Kitchen Objects in Table Settings with a Composite Sensor. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), St. Louis, MO, USA (2009)
Miller, A., Allen, P.K.: Graspit!: A Versatile Simulator for Robotic Grasping. IEEE Robotics and Automation Magazine 11(4), 110–122 (2004)
Rabbani, T., Heuvel, F.: Efficient hough transform for automatic detection of cylinder in point clouds. In: ISPRS WG III/3, III/4, V/3 Workshop, Laser scanning, Enschede, The Netherlands (2005)
Richtsfeld, M., Vincze, M.: Grasping of Unknown Objects from a Table Top. In: Workshop on Vision in Action: Efficient strategies for cognitive agents in complex environments (2008)
Rusu, R.B., Marton, Z.C., Blodow, N., Dolha, M., Beetz, M.: Towards 3D Point Cloud Based Object Maps for Household Environments. Robotics and Autonomous Systems Journal (Special Issue on Semantic Knowledge) (2008)
Rusu, R.B., Marton, Z.C., Blodow, N., Dolha, M.E., Beetz, M.: Functional Object Mapping of Kitchen Environments. In: Proceedings of the 21st IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nice, France, September 22-26 (2008)
Saxena, A., Driemeyer, J., Ng, A.Y.: Robotic Grasping of Novel Objects using Vision. The International Journal of Robotics Research 27(2), 157–173 (2008)
Schnabel, R., Wahl, R., Klein, R.: Efficient RANSAC for Point-Cloud Shape Detection. Computer Graphics Forum 26(2), 214–226 (2007)
Thrun, S., Wegbreit, B.: Shape from symmetry. In: Proceedings of the International Conference on Computer Vision (ICCV). IEEE, Bejing, China (2005)
Ulrich, M., Wiedemann, C., Steger, C.: Cad-based recognition of 3d objects in monocular images. In: International Conference on Robotics and Automation, pp. 1191–1198 (2009)
Vosselman, G., Dijkman, S.: 3d building model reconstruction from point clouds and ground plans. In: International Archives of Photogrammetry and Remote Sensing, Annapolis, MD, October 22–24, 2001, vol. XXXIV-3/W4, pp. 37–43 (2005)
Zhang, Y., Koschan, A., Abidi, M.: Superquadric Representation of Automotive Parts Applying Part Decomposition. Journal of Electronic Imaging, Special Issue on Quality Control by Artificial Vision 13(3), 411–417 (2004)
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Marton, ZC., Goron, L., Rusu, R.B., Beetz, M. (2011). Reconstruction and Verification of 3D Object Models for Grasping. In: Pradalier, C., Siegwart, R., Hirzinger, G. (eds) Robotics Research. Springer Tracts in Advanced Robotics, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19457-3_19
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DOI: https://doi.org/10.1007/978-3-642-19457-3_19
Publisher Name: Springer, Berlin, Heidelberg
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