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<p>The authors present an iterative algorithm for the recovery of 2-D motion, i.e., for the determination of a transformation that maps one image onto another. The local ambiguity in measuring the motion of contour segments (the aperture problem) implies a reliance on measurements along the normal direction. Since the measured normal flow does not agree with the actual normal flow, the full flow recovered from this erroneous flow also possesses substantial error, and any attempt to recover the 3-D motion from such full flow fails. The proposed method is based on the observation that a polynomial approximation of the image flow provides sufficient information for 3-D motion computation. The use of an explicit flow model results in improved normal flow estimates through an iterative process. The authors discuss the adequacy and the convergence of the algorithm. The algorithm was tested on some synthetic and some simple natural time-varying images. The image flow recovered from this scheme is sufficiently accurate to be useful in 3-D structure and motion computation.</p>
synthetic images; contour-based recovery; image flow; Iterative transformation method; 2-D motion; local ambiguity; aperture problem; polynomial approximation; 3-D motion; convergence; natural time-varying images; iterative methods; picture processing; polynomials
J. Wu, K.Y. Wohn, R.J. Brockett, "A Contour-Based Recovery of Image Flow: Iterative Transformation Method", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 13, no. , pp. 746-760, August 1991, doi:10.1109/34.85666
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