Method, apparatus, computer program, computer system and...

Image analysis – Pattern recognition – Feature extraction

Reexamination Certificate

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Details

C348S143000, C348S169000, C382S103000, C382S224000, C382S264000, C707S793000, C707SE17024

Reexamination Certificate

active

07664327

ABSTRACT:
A method of representing an object appearing in a still or video image, by processing signals corresponding to the image, comprises deriving a curvature scale space (CSS) representation of the object outline by smoothing the object outline, deriving at least one additional parameter reflecting the shape or mass distribution of a smoothed version of the original curve, and associating the CSS representation and the additional parameter as a shape descriptor of the object.

REFERENCES:
patent: 2005/0256399 (2005-11-01), Sirohey et al.
patent: 2005/0276443 (2005-12-01), Slamani et al.
patent: 2008/0253654 (2008-10-01), Delong
patent: 2 246 230 (1992-01-01), None
patent: 6-309465 (1994-10-01), None
patent: 10-55447 (1998-02-01), None
Farzin Mokhtarian, Sadegh Abbasi and Josef Kittler, “Robust and Efficient Shape Indexing through Curvature Scale Space,” Proc. British Machine Vision Conference, pp. 53-62, Edinburgh, UK, 1996.
Farzin Mokhtarian, Sadegh Abbasi and Josef Kittler, “Indexing an Image Database by Shape Content Using Curvature Scale Space,” Proc. IEE Colloquim on Intelligent Databases, London, 1996.
F. Mokhtarian, “Silhouette-based Occluded Object Recognition Through Curvature Scale Space,” Machine Vision and Applications (1997), pp. 87-97.
David Yuk-Ming Chan and Irwin King, “Genetic Algorithm for Weights Assignment in Dissimilarity Function for Trademark Retrieval,” Visual 1999, pp. 557-565.

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