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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.
Citation:
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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