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Optimal visual motion estimation: a note

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2 Author(s)
Spetsakis, M.E. ; Dept. of Comput. Sci., York Univ., North York, Ont., Canada ; Aloimonos, Y.

The problem of estimating 3D motion in an optimal manner using correspondences of features in two views is analyzed. The importance of having an optimal estimator is twofold: first, for the estimation itself and, second, for the bound it offers on how much sensitivity one can expect from a two-frame, point-based motion algorithm. The optimal estimator turns out to be nonlinear, and for that reason, techniques that provide very good initial guesses for the iterative computation of the optimal estimator are developed

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:14 ,  Issue: 9 )

Date of Publication:

Sep 1992

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