Simultaneous Reconstruction of Scene Structure and Camera Locations from Uncalibrated Image Sequences

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Abstract

The paper deals with the structure-motion problem for images of point configurations taken by uncalibrated cameras. Using a parametrisation by affine shape and kinetic depth, a complete and explicit characterisation of the imaging geometry is given, including the shape of the object configuration and the positions of the cameras relative to the scene. No epipolar geometry is used. It is shown that not only the projective but also the affine structure of the scene can be recovered when knowing the relative placement of five of the camera centres (four if they are coplanar). Variational algorithms for reconstruction and motion are presented, thus avoiding numerically unstable solving of algebraic equations. Any number of points in any number of images can be treated simultaneously and uniformly, without preselection of reference points. The performances of the algorithms are illustrated on simulations and experiments
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Pattern Recognition
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages328-333
Volume1
ISBN (Print)0 8186 7282 X
DOIs
Publication statusPublished - 1996
Event13th International Conference on Pattern Recognition, (ICPR 1996) - Vienna, Austria
Duration: 1996 Aug 251996 Aug 29

Publication series

Name
Volume1

Conference

Conference13th International Conference on Pattern Recognition, (ICPR 1996)
Country/TerritoryAustria
CityVienna
Period1996/08/251996/08/29

Subject classification (UKÄ)

  • Mathematics

Keywords

  • computational geometry - computer vision - image reconstruction - image sequences - motion estimation - variational techniques
  • scene structure reconstruction - camera locations - uncalibrated image sequences - structure-motion - parametrisation - kinetic depth - imaging geometry - image recovery - camera centres - variational algorithms - structure motion analysis

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