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Permanency Memories in Scene Depth Analysis

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Abstract

There are several strategies of how to retrieve depth information from a sequence of images, like depth from motion, depth from shading and depth from stereopsis. In this paper, we introduce a new method to retrieve depth based on motion and stereopsis. A motion detection representation helps establishing further correspondences between different motion information. This representation bases in the permanency memories mechanism, where jumps of pixels between grey level bands are computed in a matrix of charge accumulators. For each frame of a video stereovision sequence, the method fixes the right permanency stereo memory, and displaces the left permanency stereo memory by pixel on the epipolar restriction basis over the right one, in order to analyze the disparities of the motion trails calculated. By means of this functionality, for all possible displacements of one permanency memory over the other, the correspondences between motion trails are checked, and the disparities are assigned, providing a way to analyze the depths of the objects present in the scene.

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Authors and Affiliations

  1. Escuela Politécnica Superior de Albacete, Universidad de Castilla-La Mancha, 02071, Albacete, Spain

    Miguel A. Fernández, Antonio Fernández-Caballero & María T. López

  2. Universidad de Castilla-La Mancha, Escuela Universitaria Politécnica de Cuenca, 13071, Cuenca, Spain

    José M. López-Valles

  3. Universidad Nacional de Educación a Distancia, E.T.S.I. Informática, 28040, Madrid, Spain

    José Mira & Ana E. Delgado

Authors
  1. Miguel A. Fernández

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  2. José M. López-Valles

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  3. Antonio Fernández-Caballero

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  4. María T. López

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  5. José Mira

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  6. Ana E. Delgado

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Editor information

Editors and Affiliations

  1. Instituto Universitario de Ciencias y Tecnologícas Cibernéticas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017, Las Palmas de Gran Canaria,, Las Palmas, Spain

    Roberto Moreno Díaz

  2. Systems Theory, Johannes Kepler University Linz, Altenbergerstrasse 69, A-4040, Linz, Austria

    Franz Pichler

  3. Universidad de Las Palmas de Gran Canaria, Instituto Universitario de Ciencias y Tecnologícas Cibernéticas, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Las Palmas, Spain

    Alexis Quesada Arencibia

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© 2005 Springer-Verlag Berlin Heidelberg

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Fernández, M.A., López-Valles, J.M., Fernández-Caballero, A., López, M.T., Mira, J., Delgado, A.E. (2005). Permanency Memories in Scene Depth Analysis. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2005. EUROCAST 2005. Lecture Notes in Computer Science, vol 3643. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556985_69

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