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3D Geometry Reconstruction from a Stereoscopic Video Sequence

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Image Analysis and Recognition (ICIAR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3656))

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Abstract

The aim of this work is to propose a method for recovering the 3D geometry of a video sequence taken from a pair of stereo cameras. The cameras are rigidly situated in a fixed position and there are some objects which are moving in front of them. Our method estimates the displacements of objects and the 3D structure of the scene. We establish a temporal constraint that relates the computation of the optical flow and the estimation of disparity maps. We use an energy minimisation approach that yields a system of partial differential equations (PDE) which is solved by means of a gradient descent technique.

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Author information

Authors and Affiliations

  1. Departamento de Informática y Sistemas, Universidad de Las Palmas de G.C., 35017, Las Palmas de G.C., Spain

    A. Salgado & J. Sánchez

Authors
  1. A. Salgado
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  2. J. Sánchez
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, P.O. Box, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2005 Springer-Verlag Berlin Heidelberg

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Salgado, A., Sánchez, J. (2005). 3D Geometry Reconstruction from a Stereoscopic Video Sequence. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_75

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  • DOI: https://doi.org/10.1007/11559573_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29069-8

  • Online ISBN: 978-3-540-31938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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