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Issue No.11 - November (1996 vol.18)
pp: 1098-1104
ABSTRACT
<p><b>Abstract</b>—In this paper, 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.</p>
INDEX TERMS
Perspective, weak perspective, paraperspective, Euclidean and affine reconstruction.
CITATION
Stéphane Christy, Radu Horaud, "Euclidean Shape and Motion from Multiple Perspective Views by Affine Iterations", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.18, no. 11, pp. 1098-1104, November 1996, doi:10.1109/34.544079
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