Method for aligning gesture features of image
First Claim
1. A method for aligning gesture features of image, comprising the steps of:
- capturing an input gesture image;
determining a closed curve formed by a binary contour image of the gesture image by preprocessing the gesture image;
drawing a curvature scale space (CSS) image of the gesture image based on the closed curve;
performing a convolution operation with respect to the sequence of a coordinate-peak set formed by the CSS image and a predefined function F(x) to designate the coordinate with maximal value of integration as a basis point for obtaining feature parameters of the gesture image, wherein each feature parameter of the gesture image is obtained by the steps ofcalculating all sets of the peaks in the CSS image to form a coordinate-peak set;
selecting a basis point ko according to two-dimensional distribution of the coordinate-peak set;
performing a convolution operation with respect to the coordinate-peak set and the predefined function so as to extracting a coordinate uko with maximal value of integration as the basis point to align the coordinate-peak set through a circular rotation to form an aligned coordinate-peak set;
calculating the feature parameter based on the aligned coordinate-peak set; and
comparing each feature parameter of the gesture image with each feature parameter of a plurality of reference gesture shapes for determining a gesture shape corresponding to the gesture image.
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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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Citations
14 Claims
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1. A method for aligning gesture features of image, comprising the steps of:
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capturing an input gesture image; determining a closed curve formed by a binary contour image of the gesture image by preprocessing the gesture image; drawing a curvature scale space (CSS) image of the gesture image based on the closed curve; performing a convolution operation with respect to the sequence of a coordinate-peak set formed by the CSS image and a predefined function F(x) to designate the coordinate with maximal value of integration as a basis point for obtaining feature parameters of the gesture image, wherein each feature parameter of the gesture image is obtained by the steps of calculating all sets of the peaks in the CSS image to form a coordinate-peak set; selecting a basis point ko according to two-dimensional distribution of the coordinate-peak set; performing a convolution operation with respect to the coordinate-peak set and the predefined function so as to extracting a coordinate uk o with maximal value of integration as the basis point to align the coordinate-peak set through a circular rotation to form an aligned coordinate-peak set;calculating the feature parameter based on the aligned coordinate-peak set; and comparing each feature parameter of the gesture image with each feature parameter of a plurality of reference gesture shapes for determining a gesture shape corresponding to the gesture image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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Specification