Combined Invariants to Convolution and Rotation and Their Application to Image Registration

Authors:
Jan Flusser;Barbara Zitová
Affiliations:
-;-
Venue:
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Year:
2001

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Abstract

A new class of moment-based features invariant to image rotation, translation, and also to convolution with an unknown point-spread function is introduced in this paper. These features can be used for the recognition of objects captured by a nonideal imaging system of unknown position and blurring parameters. Practical applications to the registration of satellite images is presented.