Abstract
This paper proposes an object database representation model for active recognition systems. This model optimizes dataset information. The objects are modeled by using the proposed Canonical Sphere Section (CSS) model and the shape is normalized to affine transformations in the spectral dominium. This dataset representation model is compared with other shape representation models and implemented in an active recognition system which develops object manipulation. Its feasibility in complex robotic applications is therefore proved.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kovacic, S., Leonardis, A., Pernus, F.: Planning sequences of views for 3-d object recognition and pose determination. Pattern Recognition 31(10), 1407–1417 (1998)
Borotschnig, H., Paletta, L., Pinz, A.: A comparison of probabilistic, possibilistic and evidence theoretic fusion schemes for active object recognition. Computing 62(4), 293–319 (1999)
Deinzer, F., Denzler, J., Derichs, C., Niemann, H.: Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition. In: British Machine Vision Conference 2006, vol. 1, pp. 287–296 (2006)
González, E., Adán, A., Feliú, V., Sánchez, L.: A solution to the next best view problem based on d-spheres for 3d object recognition. In: Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging, CGIM 2008, pp. 286–291. ACTA Press, Anaheim (2008)
Vranic, D.V.: 3d model retrieval (2004)
Tangelder, J.W.H., Veltkamp, R.C.: A survey of content based 3d shape retrieval methods. Multimedia Tools Appl. 39(3), 441–471 (2008)
González, E., Adán, A., Feliú, V.: Canonical sphere section: A 3d view-based object representation model. University of Castilla La Mancha, Tech. Rep. (June 2011), http://isa.esi.uclm.es/descarga-objetos-adan/AFFN.pdf
Avrithis, Y., Xirouhakis, Y., Kollias, S.: Affine-invariant curve normalization for object shape representation, classification, and retrieval. Machine Vision and Applications 13, 80–94 (2001)
González, E., Adán, A., Feliú, V.: Affine spectral silhouette normalized descriptor. University of Castilla La Mancha, Tech. Rep. (June 2011), http://isa.esi.uclm.es/descarga-objetos-adan/AFFN.pdf
eii. 3d synthetic library (3dsl) (June 2009), http://eii.unex.es/mallas/
González, E., Adán, A., Feliú, V., Sánchez, L.: Active object recognition based on fourier descriptors clustering. Pattern Recogn. Lett. 29, 1060–1071 (2008)
Hu, M.-K.: Visual pattern recognition by moment invariants. IRE Transactions on Information Theory 8(2), 179–187 (1962)
Khotanzad, A., Hong, Y.: Invariant image recognition by zernike moments. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(5), 489–497 (1990)
Flusser, J.: On the independence of rotation moment invariants. Pattern Recognition 33(9), 1405–1410 (2000)
Yamauchi, H., Saleem, W., Yoshizawa, S., Karni, Z., Belyaev, A.G., Seidel, H.-P.: Towards stable and salient multi-view representation of 3d shapes. In: SMI, p. 40. IEEE Computer Society, Los Alamitos (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
González, E., Feliú, V., Adán, A. (2011). CSS-AFFN: A Dataset Representation Model for Active Recognition Systems. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23672-3_49
Download citation
DOI: https://doi.org/10.1007/978-3-642-23672-3_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23671-6
Online ISBN: 978-3-642-23672-3
eBook Packages: Computer ScienceComputer Science (R0)