Abstract
Up to date several strategies of how to retrieve depth information from a sequence of images have been described. In this paper a method that is inspired in Neurobiology and that turns around the symbiosis existing between stereovision and motion is introduced. A motion representation in form of a two-dimensional motion charge map, based in the so-called permanency memories mechanism is presented. For each pair of frame of a video stereovision sequence, the method displaces the left permanency stereo-memory on the epipolar restriction basis over the right one, in order to analyze the disparities of the motion trails calculated.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Brown, M.Z., Burschka, D., Hager, G.D.: Advances in computational stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(8), 993–1008 (2003)
Zabih, R., Woodfill, J.: Non parametric local transforms for computing visual correspondence. In: Eklundh, J.-O. (ed.) ECCV 1994. LNCS, vol. 801, pp. 150–158. Springer, Heidelberg (1994)
Grimson, W.E.L.: Computational experiments with a feature based stereo algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence 7, 17–34 (1985)
Choi, I., Yoon, J.-G., Lee, Y.-B., Chien, S.I.: Stereo system for tracking moving object using log-polar transformation and zero disparity filtering. In: Petkov, N., Westenberg, M.A. (eds.) CAIP 2003. LNCS, vol. 2756, pp. 182–189. Springer, Heidelberg (2003)
Venkateswar, V., Chellappa, R.: Hierarchical stereo and motion correspondence using feature groupings. International Journal of Computer Vision 15, 245–269 (1995)
Ho, A.Y.K., Pong, T.C.: Cooperative fusion of stereo and motion. Pattern Recognition 29(1), 121–130 (1996)
Liu, J., Skerjane, R.: Stereo and motion correspondence in a sequence of stereo images. Signal Processing: Image Communication 5(4), 305–318 (1993)
Xu, G.: Unification of stereo, motion and object recognition via epipolar geometry. In: 2nd Asian Conference on Computer Vision, vol. I, pp. 287–291 (1995)
Hubel, D.H.: Eye, Brain, and Vision. Scientific American Library (1995)
Kandel, E.R., Schwartz, J.H., Jessel, T.M.: Principles of Neural Science. McGraw Hill, New York (2000)
Martin, J.H.: Neuroanatomy: Text and Atlas. Elsevier, Amsterdam (1989)
Lu, Z.-L., Lesmes, L.A., Sperlingdagger, G.: The mechanism of isoluminant chromatic motion perception. Proceedings of the National Academy of Sciences of the United States of America 96(14), 8289–8294 (1999)
Merigan, W.H., Maunsell, J.H.R.: How parallel are the primate visual pathways? Annual Review of Neuroscience 16, 369–402 (1993)
Schiller, P.H., Logothetis, N.K., Charles, E.R.: Functions of the colour-opponent and broad-band channels of the visual system. Nature 343(4), 68–70 (1990)
Poggio, G.F., Fischer, B.: Binocular interaction and depth sensitivity in striate and prestriate cortex of behaving rhesus monkey. Journal of Neurophysiology 40, 1392–1405 (1977)
Mallot, H.A., Bideau, H.: Binocular vergence influences the assignment of stereo correspondences. Vision Research 30, 1521–1523 (1990)
Fernández, M.A., Fernández-Caballero, A., López, M.T., Mira, J.: Length-speed ratio (LSR) as a characteristic for moving elements real-time classification. Real-Time Imaging 9, 49–59 (2003)
Faugeras, O.: Three-Dimensional Computer Vision, A Geometric Viewpoint. The MIT Press, Cambridge (1993)
Fernández-Caballero, A., Fernández, M.A., Mira, J., Delgado, A.E.: Spatio-temporal shape building from image sequences using lateral interaction in accumulative computation. Pattern Recognition 36(5), 1131–1142 (2003)
Fernández-Caballero, A., Mira, J., Férnandez, M.A., Delgado, A.E.: On motion detection through a multi-layer neural network architecture. Neural Networks 16(2), 205–222 (2003)
Fernández-Caballero, A., Mira, J., Delgado, A.E., Fernández, M.A.: Lateral interaction in accumulative computation: A model for motion detection. Neurocomputing 50, 341–364 (2003)
Fernández-Caballero, A., López, M.T., Fernández, M.A., Mira, J., Delgado, A.E., López-Valles, J.M.: Accumulative computation method for motion features extraction in dynamic selective visual attention. In: Paletta, L., Tsotsos, J.K., Rome, E., Humphreys, G.W. (eds.) WAPCV 2004. LNCS, vol. 3368, pp. 206–215. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
López-Valles, J.M., Fernández, M.A., Fernández-Caballero, A., Gómez, F.J. (2005). Stereovision Disparity Analysis by Two-Dimensional Motion Charge Map Inspired in Neurobiology. In: De Gregorio, M., Di Maio, V., Frucci, M., Musio, C. (eds) Brain, Vision, and Artificial Intelligence. BVAI 2005. Lecture Notes in Computer Science, vol 3704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11565123_44
Download citation
DOI: https://doi.org/10.1007/11565123_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29282-1
Online ISBN: 978-3-540-32029-6
eBook Packages: Computer ScienceComputer Science (R0)