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Euclidean Shape and Motion from Multiple Perspective Views by Affine Iterations
November 1996 (vol. 18 no. 11)
pp. 1098-1104

Abstract—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.

Index Terms:
Perspective, weak perspective, paraperspective, Euclidean and affine reconstruction.
Stéphane Christy, Radu Horaud, "Euclidean Shape and Motion from Multiple Perspective Views by Affine Iterations," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 11, pp. 1098-1104, Nov. 1996, doi:10.1109/34.544079
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