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3D Reconstruction and Mapping from Stereo Pairs with Geometrical Rectification

  • Antonio Javier Gallego
  • Rafael Molina
  • Patricia Compañ
  • Carlos Villagrá
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4729)

Abstract

In this paper a new method for reconstructing 3D scenes from stereo images is presented, as well as an algorithm for environment mapping, as an application of the previous method. In the reconstruction process a geometrical rectification filter is used to remove the conical perspective of the images. It is essential to recover the geometry of the scene (with real data of depth and volume) and to achieve a realistic appearance in 3D reconstructions. It also uses sub-pixel precision to solve the lack of information for distant objects. Finally, the method is applied to a mapping algorithm in order to show its usefulness.

Keywords

Mobile Robot Augmented Reality Stereo Image Stereo Vision Stereo Pair 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Antonio Javier Gallego
    • 1
  • Rafael Molina
    • 1
  • Patricia Compañ
    • 1
  • Carlos Villagrá
    • 1
  1. 1.Grupo de Informática Industrial e Inteligencia Artificial, Universidad de Alicante, Ap.99, E-03080, AlicanteSpain

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