DocumentCode
887089
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
Volume
14
Issue
9
fYear
1992
fDate
9/1/1992 12:00:00 AM
Firstpage
959
Lastpage
964
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;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.161355
Filename
161355
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