Uncalibrated factorization using a variable symmetric affine camera

  • Authors:
  • Kenichi Kanatani;Yasuyuki Sugaya;Hanno Ackermann

  • Affiliations:
  • Department of Computer Science, Okayama University, Okayama, Japan;Department of Information and Computer Sciences, Toyohashi University of Technology, Toyohashi, Aichi, Japan;Department of Computer Science, Okayama University, Okayama, Japan

  • Venue:
  • ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
  • Year:
  • 2006

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Abstract

In order to reconstruct 3-D Euclidean shape by the Tomasi-Kanade factorization, one needs to specify an affine camera model such as orthographic, weak perspective, and paraperspective. We present a new method that does not require any such specific models. We show that a minimal requirement for an affine camera to mimic perspective projection leads to a unique camera model, called symmetric affine camera, which has two free functions. We determine their values from input images by linear computation and demonstrate by experiments that an appropriate camera model is automatically selected.