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Proceedings Paper

Parametric optical flow without correspondence for moving sensors
Author(s): Gary E. Whitten
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Paper Abstract

Optical flow fields (which describe image domain motion) extracted from sequences of images acquired with moving sensors have many practical applications including motion analysis, moving target cueing, surface reconstruction and hazard avoidance. It is well known that, for the general optical flow problem, a constraint exists that relates the local change in intensity to image gradient and describes the optical flow component parallel to the gradient. However, the component perpendicular to the gradient is unconstrained, and therefore, the optical flow field can not be determined directly-usually it is necessary to appeal to some other constraint, such as smoothness, which generally requires costly iterative or relaxation techniques. For the special, but important, case of optical flow induced by sensor motion, a model for the motion provides additional constraints. If, in addition, the scene is assumed to be roughly planar, the optical flow can be characterized by six parameters and found directly without iteration or determining correspondence. These parameters can be readily and robustly calculated by performing a least squares fit to data uniformly sampled from the image sequence. We develop the necessary equations and relations, show results of this approach using real imagery and demonstrate that it is applicable to important real problems.

Paper Details

Date Published: 1 March 1991
PDF: 9 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45463
Show Author Affiliations
Gary E. Whitten, Fairchild Weston Systems Inc. (United States)

Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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