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21 - Cheirality

Published online by Cambridge University Press:  25 January 2011

Richard Hartley
Affiliation:
Australian National University, Canberra
Andrew Zisserman
Affiliation:
University of Oxford
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Summary

When a projective reconstruction of a scene is carried out from a set of point correspondences, an important piece of information is typically ignored – if the points are visible in the images, then they must have been in front of the camera. In general, a projective reconstruction of a scene will not bear a close resemblance to the real scene when interpreted as if the coordinate frame were Euclidean. The scene is often split across the plane at infinity, as is illustrated in two dimensions by figure 21.1. It is possible to come much closer to at least an affine reconstruction of the scene by taking this simple constraint into account. The resulting reconstruction is called “quasi-affine” in that it lies part way between a projective and affine reconstruction. Scene objects are no longer split across the plane at infinity, though they may still suffer projective distortion.

Converting a projective reconstruction to quasi-affine is extremely simple if one neglects the cameras and requires only that the scene be of the correct quasi-affine form – in fact it can be accomplished in about two lines of programming (see corollary 21.9). To handle the cameras as well requires the solution of a linear programming problem.

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Publisher: Cambridge University Press
Print publication year: 2004

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  • Cheirality
  • Richard Hartley, Australian National University, Canberra, Andrew Zisserman, University of Oxford
  • Book: Multiple View Geometry in Computer Vision
  • Online publication: 25 January 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511811685.028
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  • Cheirality
  • Richard Hartley, Australian National University, Canberra, Andrew Zisserman, University of Oxford
  • Book: Multiple View Geometry in Computer Vision
  • Online publication: 25 January 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511811685.028
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Cheirality
  • Richard Hartley, Australian National University, Canberra, Andrew Zisserman, University of Oxford
  • Book: Multiple View Geometry in Computer Vision
  • Online publication: 25 January 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511811685.028
Available formats
×