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Euclidean shape and motion from multiple perspective views by affine iterations

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2 Author(s)
Christy, S. ; Inst. Nat. de Recherche en Inf. et Autom., Saint-Martin, France ; Horaud, R.

We describe a method for solving the Euclidean reconstruction problem with a perspective camera model by incrementally performing Euclidean reconstruction with either a weak or a paraperspective camera model. With respect to other methods that compute shape and motion from a sequence of images with a calibrated camera, this method converges in a few iterations, is computationally efficient, and solves for the sign (reversal) ambiguity. We give a detailed account of the method, analyze its convergence, and test it with both synthetic and real data

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:18 ,  Issue: 11 )