Image analysis – Pattern recognition
Reexamination Certificate
2007-11-13
2007-11-13
Patel, Kanjibhai (Department: 2624)
Image analysis
Pattern recognition
C382S203000
Reexamination Certificate
active
10628511
ABSTRACT:
A method for aligning 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 processing the gesture image. A curvature scale space (CSS) image of the gesture image is drawn based on the closed curve. A convolution operation is performed with respect to the sequence of a coordinate-peak set formed by the CSS image and a predefined function to designate the coordinate with maximal value of integration as a basis point for obtaining a feature parameter of the gesture image. Finally, comparing the feature parameter of the gesture image with each feature parameter of a plurality of reference gesture shapes, 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).
Chang Chin-Chen
Chen I-Yen
Liu Cheng-Yi
Bacon & Thomas PLLC
Industrial Technology Research Institute
Patel Kanjibhai
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