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Finding the Collineation Between two Projective Reconstructions

Gabriella Csurka 1 Radu Horaud 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : The problem of finding the collineation between two 3-D projective reconstructions has been proved to be useful for a variety of tasks such as calibration of a stereo rig and 3-D affine and/or Euclidean reconstruction. Moreover such a collineation may well be viewed as a point transfer method between two image pairs with applications to visually guided robot control. In spite of this potential, methods for properly estimating such a projective transformation have received little attention in the past. In this paper we describe linear, non-linear and robust methods for estimating this transformation. We test the numerical stability of these methods with respect to image noise and to the number of matched points. Finally we briefly describe three applications: stereo image transfer, Euclidean reconstruction, and self calibration of a stereoscopic camera pair.
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Submitted on : Wednesday, May 24, 2006 - 12:14:46 PM
Last modification on : Wednesday, May 4, 2022 - 12:12:03 PM
Long-term archiving on: : Sunday, April 4, 2010 - 9:10:46 PM


  • HAL Id : inria-00073222, version 1



Gabriella Csurka, Radu Horaud. Finding the Collineation Between two Projective Reconstructions. RR-3468, INRIA. 1998. ⟨inria-00073222⟩



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