Abstract
The paper describes an object recognition system, based on the co-operation of several visual modules (early vision, object detector, and object recognizer). The system is active because the behavior of each module is tuned on the results given by other modules and by the internal models. This solution allows to detect inconsistencies and to generate a feedback process. The proposed strategy has shown good performance especially in case of complex scene analysis, and it has been included in the visual system of the DAISY robotics system. Experimental results on real data are also reported.
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References
J. Aloimonos, I. Weiss, and Bandyopadhyay, “Active vision”, in Int.Journal of Computer Vision, Vol.1, No.4, pp.333–356, 1988.
C. M. Brown, “Issue in Selected Perception”, in Proc.ICPR’92, (IEEE Computer Soc.), Vol.1, pp.21–30, The Hague,1992.
A. Chella, V. Di Gesù, S. Gaglio, et.al., “DAISY: a Distributed Architecture for Intelligent SYstem”, Proc.CAMP-97, (IEEE Computer Soc.), Boston, 1997.
V. Di Gesù, G. Gerardi, and D. Tegolo, “M-VIF: a Machine-Vision based on Information Fusion”, proceedings of CAMP’93, (ed. M.A. Bayoumi, L.S. Davis, K.P. Valavanis), IEEE Comp.Soc.Press, pp.428–435, New Orleans 1993.
V. Di Gesù, C. Valenti, “Detection of regions of interest via the Pyramid Discrete Symmetry Transform”, in Advances in Computer Vision (Solina, Kropatsch, Klette and Bajcsy editors), Springer-Verlag, 1997.
V. Di Gesù, D. Intravaia, “A new approach to face analysis”, DMA-IR-05/98, University of Palermo,1998.
J. M. Gauch and S. M. Pizer, “The intensity axis of symmetry application to image segmentation”, IEEE Trans. PAMI, Vol.15, N.8, pp.753–770, 1993.
E. Gerianotis, Y.A. Chau, Robust data fusion for multisensor detection systems, IEEE Trans. on Pattern Information Theory 36(6), pp. 1265–1279, 1990.
H. Gomaa, “Configuration of distributed heterogeneous information systems”, Proceedings Second International Workshop on Configurable Distributed Systems (Cat. No.94TH0651-0). Pittsburgh, PA, USA; pp. 210. IEEE. Carnegie Mellon Univ. 21-23 March 1994, IEEE Comput. Soc. Press. Los Almitos, CA, USA, 1994.
M.F. Kelly and M.D. Levine, “From symmetry to representation”, Technical Report, TR-CIM-94-12, Center for Intelligent Machines. McGill University, Montreal, Canada, 1994.
W. Khöler and H. Wallach, “Figural after-effects: an investigation of visual processes”, Proc. Amer. phil. Soc., Vol.88, 269–357, 1944.
Kiriati, “Detecting symmetry in gray level images: the global optimization approach”, 1996.
D. Reisfeld, H. Wolfson, Y. Yeshurun, “Context Free Attentional Operators: the Generalized Symmetry Transform”, Int. Journal of Computer Vision, Vol.14, 119–130, 1995.
J.K. Tsotsos, “The complessity of perceptual search tasks”, in Proc., IJCAI, 1571–1577, 1989.
A. Treisman, “Preattentive processing in vision”, Computer Vision, Graphics, and Image Processing, Vol.31, 156–177, 1985.
M. Kass, A. Witkin, D. Terzoupolos, “Snakes: Active Contour Models”, International Journal of Computer Vision, Vol.1, 321–331, 1988.
D. Marr, E. Hildreth, “Theory of Edge Detection”, Proc. R. Soc. Lond. B., Vol.207, 187–217, 1980.
V. Torre, A. Poggio, “On Edge Detection”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.8(2), 147–163, 1986.
K. F. Lai, R. T. Chin, “Deformable Contours-Modelling and Extraction”,IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.17(11), 1084–1090, 1995
D. Terzopoulos, “Regularisations of Inverse Visual Problems involving Discontinuites”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.8(4), 413–424, 1986
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Chella, A., Di Gesù, V., Infantino, I., Intravaia, D., Valenti, C. (1999). A Cooperating Strategy for Objects Recognition. In: Shape, Contour and Grouping in Computer Vision. Lecture Notes in Computer Science, vol 1681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46805-6_16
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DOI: https://doi.org/10.1007/3-540-46805-6_16
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