Automatic Object Shape Completion from 3D Point Clouds for Object Manipulation

Rui Figueiredo, Plinio Moreno, Alexandre Bernardino

Abstract

3D object representations should be able to model the shape at different levels, considering both low-level and high-level shape descriptions. In robotics applications, is difficult to compute the shape descriptors in self-occluded point clouds while solving manipulation tasks. In this paper we propose an object completion method that under some assumptions works well for a large set of kitchenware objects, based on Principal Component Analysis (PCA). In addition, object manipulation in robotics must consider not only the shape but the of actions that an agent may perform. Thus, shape-only descriptions are limited because do not consider where the object is located with respect to others and the type of constraints associated to manipulation actions. In this paper, we define a set of semantic parts (i.e. bounding boxes) that consider grasping constraints of kitchenware objects, and how to segment the object into those parts. The semantic parts provide a general representation across object categories, which allows to reduce the grasping hypotheses. Our algorithm is able to find the semantic parts of kitchenware objects in and efficient way

References

  1. Aleotti, J., Rizzini, D. L., and Caselli, S. (2012). Object categorization and grasping by parts from range scan data. In Robotics and Automation (ICRA), 2012 IEEE International Conference on, pages 4190-4196. IEEE.
  2. Besl, P. J. and McKay, N. D. (1992). A Method for Registration of 3-D Shapes. IEEE Trans. Pattern Anal. Mach. Intell., 14(2):239-256.
  3. Biegelbauer, G. and Vincze, M. (2007). Efficient 3d object detection by fitting superquadrics to range image data for robot's object manipulation. In IEEE International Conference on Robotics and Automation, pages 1086- 1091.
  4. Bohg, J., Johnson-Roberson, M., León, B., Felip, J., Gratal, X., Bergström, N., Kragic, D., and Morales, A. (2011). Mind the gap - robotic grasping under incomplete observation. In IEEE International Conference on Robotics and Automation, pages 686-693.
  5. Chen, Y. and Medioni, G. (1992). Object modelling by registration of multiple range images. Image Vision Comput., 10(3):145-155.
  6. de Figueiredo, R. P., Moreno, P., and Bernardino, A. (2015). Efficient pose estimation of rotationally symmetric objects. Neurocomputing, 150:126-135.
  7. Faria, D. R., Martins, R., Lobo, J., and Dias, J. (2012). A probabilistic framework to detect suitable grasping regions on objects. IFAC Proceedings Volumes, 45(22):247 - 252.
  8. Hourdakis, E., Chliveros, G., and Trahanias, P. (2014). Orca: A multi-tier, physics based robotics simulator. Journal of Software Engineering for Robotics, 5(2):13-24.
  9. Kroemer, O., Ben Amor, H., Ewerton, M., and Peters, J. (2012). Point cloud completion using symmetries and extrusions. In Proceedings of the International Conference on Humanoid Robots.
  10. Kuehnle, J., Xue, Z., Stotz, M., Zoellner, J., Verl, A., and Dillmann, R. (2008). Grasping in depth maps of time-of-flight cameras. In International Workshop on Robotic and Sensors Environments, pages 132-137.
  11. Marton, Z. C., Goron, L., Rusu, R. B., and Beetz, M. (2009). Reconstruction and Verification of 3D Object Models for Grasping. In Proceedings of the 14th International Symposium on Robotics Research.
  12. Mitra, N. J., Guibas, L., and Pauly, M. (2006). Partial and approximate symmetry detection for 3d geometry. ACM Transactions on Graphics, 25(3).
  13. Rusinkiewicz, S. and Levoy, M. (2001). Efficient variants of the icp algorithm. In International Conference on 3-D Digital Imaging and Modeling.
  14. Thrun, S. and Wegbreit, B. (2005). Shape from symmetry. In International Conference on Computer Vision, pages 1824-1831.
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Paper Citation


in Harvard Style

Figueiredo R., Moreno P. and Bernardino A. (2017). Automatic Object Shape Completion from 3D Point Clouds for Object Manipulation . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 565-570. DOI: 10.5220/0006170005650570


in Bibtex Style

@conference{visapp17,
author={Rui Figueiredo and Plinio Moreno and Alexandre Bernardino},
title={Automatic Object Shape Completion from 3D Point Clouds for Object Manipulation},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={565-570},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006170005650570},
isbn={978-989-758-225-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Automatic Object Shape Completion from 3D Point Clouds for Object Manipulation
SN - 978-989-758-225-7
AU - Figueiredo R.
AU - Moreno P.
AU - Bernardino A.
PY - 2017
SP - 565
EP - 570
DO - 10.5220/0006170005650570