ACTIVE 3D RECOGNITION SYSTEM BASED ON FOURIER DESCRIPTORS

E. González, V. Feliú, A. Adán, Luis Sánchez

Abstract

This paper presents a new 3D object recognition/pose strategy based on reduced sets of Fourier descriptors on silhouettes. The method consists of two parts. First, an off-line process calculates and stores a clustered Fourier descriptors database corresponding to the silhouettes of the synthetic model of the object viewed from multiple viewpoints. Next, an on-line process solves the recognition/pose problem for an object that is sensed by a real camera placed at the end of a robotic arm. The method avoids ambiguity problems (object symmetries or similar projections belonging to different objects) and erroneous results by taking additional views which are selected through an original next best view (NBV) algorithm. The method provides, in very reduced computation time, the object identification and pose of the object. A validation test of this method has been carried out in our lab yielding excellent results.

References

  1. Adán, A., Cerrada, C., Feliu, V., 2000. Modeling Wave Set: Definition and Application of a New Topological Organization For 3D Object Modeling. Computer Vision and Image Understanding 79, pp 281-307.
  2. Bustos, B., Kein, D.A., Saupe, D., Schreck, T., Vranic, D., 2005. Feature-based Similarity Search in 3D Object Databases. ACM Computing Surveys (CSUR) 37(4):345-387, Association For Computing Machinery.
  3. Borotschnig, H. Paletta, L., Pranti, M. and Pinz, A. H. 1999. A comparison of probabilistic, possibilistic and evidence theoretic fusion schemes for active object recognition. Computing, 62:293-319.
  4. Deinzer, F., Denzler, J. and Niemann, H., 2003. Viewpoint Selection. Planning Optimal Sequences of Views for Object Recognition. In Computer Analysis of Images and Patterns, pages 65-73, Groningen, Netherlands, Springer.
  5. Deinzer, F., Denzler, J., Derichs, C., Niemann, H., 2006: Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition. In: Chanteler, M.J. ; Trucco, E. ; Fisher, R.B. (Eds.) : British Machine Vision Conference
  6. Helmer S. and Lowe D. G, 2004. Object Class Recognition with Many Local Features. In Workshop on Generative Model Based Vision 2004 (GMBV), July.
  7. Hutchinson S.A. and Kak. A.C., 1992. Multisensor Strategies Using Dempster-Shafer Belief Accumulation. In M.A. Abidi and R.C. Gonzalez, editors, Data Fusion in Robotics and Machine Intelligence, chapter 4, pages 165-209. Academic Press,.
  8. Netanyahu, N. S., Piatko, C., Silverman, R., Kanungo, T., Mount, D. M. and Wu, Y., 2002. An efficient k-means clustering algorithm: Analysis and implementation. vol 24, pages 881-892, july.
  9. Niku S. B., 2001. Introduction to Robotics, Analysis, Systems, Applications. Prentice Hall.
  10. Poppe, R.W. and Poel, M., 2005. Example-based pose estimation in monocular images using compact fourier descriptors. CTIT Technical Report series TR-CTIT05-49 Centre for Telematics and Information Technology, University of Twente, Enschede. ISSN 1381-3625
  11. Roy, S.D., Chaudhury, S. and Banerjee. S., 2004. Active recognition through next view planning: a survey. Pattern Recognition 37(3):429-446, March.
  12. Sipe M. and Casasent, D., 2002. Feature space trajectory methods for active computer vision. IEEE Trans PAMI, Vol. 24, pp. 1634-1643, December.
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Paper Citation


in Harvard Style

González E., Feliú V., Adán A. and Sánchez L. (2007). ACTIVE 3D RECOGNITION SYSTEM BASED ON FOURIER DESCRIPTORS . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 978-972-8865-83-2, pages 318-325. DOI: 10.5220/0001627003180325


in Bibtex Style

@conference{icinco07,
author={E. González and V. Feliú and A. Adán and Luis Sánchez},
title={ACTIVE 3D RECOGNITION SYSTEM BASED ON FOURIER DESCRIPTORS},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2007},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001627003180325},
isbn={978-972-8865-83-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - ACTIVE 3D RECOGNITION SYSTEM BASED ON FOURIER DESCRIPTORS
SN - 978-972-8865-83-2
AU - González E.
AU - Feliú V.
AU - Adán A.
AU - Sánchez L.
PY - 2007
SP - 318
EP - 325
DO - 10.5220/0001627003180325