Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2006-06-27
2006-06-27
Mancuso, Joseph (Department: 2621)
Image analysis
Pattern recognition
Feature extraction
Reexamination Certificate
active
07068843
ABSTRACT:
A method for extracting and matching gesture features of image is disclosed. An input gesture image is captured, and then a closed curve formed by a binary contour image of the gesture image is determined by preprocessing the gesture image. A curvature scale space (CSS) image of the gesture image is drawn based on the closed curve. Feature parameters of a plurality of sets of the gesture image are determined by extracting first plural peaks from the CSS image as basis points, and each feature parameter of the plurality of sets of the gesture image is compared with each feature parameter of a plurality of reference gesture shapes represented as a basis point of the maximal peak, thereby determining a gesture shape corresponding to the gesture image.
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Mokhtarian et al., “Robust and Efficient Shape Indexing through Curvature Scale Space”, 1996, Dept. of Electrical Engineering University of Surrey, England.
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Chang Chin-Chen
Huang Yea-Shuan
Bacon & Thomas PLLC
Industrial Technology Research Institute
Mancuso Joseph
Schaffer Jonathan
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