Title :
Optimal visual motion estimation: a note
Author :
Spetsakis, Minas E. ; Aloimonos, Yiannis
Author_Institution :
Dept. of Comput. Sci., York Univ., North York, Ont., Canada
fDate :
9/1/1992 12:00:00 AM
Abstract :
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
Keywords :
iterative methods; optimisation; parameter estimation; picture processing; 3D motion estimation; optimal estimator; optimisation; parameter estimation; picture processing; two frame point based motion; Closed-form solution; Computer vision; Gaussian noise; Iterative algorithms; Motion analysis; Motion estimation; Navigation; Noise robustness; Robot sensing systems; Robot vision systems;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
