Method for extracting and matching gesture features of image
AssigneeIndustrial Technology Research Institute
InventorsChin-Chen Chang, Yea-Shuan Huang
Life of this patent
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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.
Claims9
A method for extracting and matching gesture features of an image, comprising the steps of:
- (A) capturing an input gesture image;
- (B) determining a closed curve formed by a binary contour image of the gesture image by preprocessing the gesture image;
- (C) drawing a curvature scale space (CSS) image of the gesture image based on the closed curve;
- (D) determining feature parameters of a plurality of sets of the gesture image by extracting first plural peaks from the CSS image as basis points, wherein each peak is a local maximum larger than a critical value and each feature parameter of the sets of the gesture image is obtained by performing the steps of:
- (D1) calculating all sets of the peaks in the CSS image to form a coordinate-peak set:
- {(ui,σi)}i=1, . . . ,NOriginal={(u1,σ1), (u2,σ2), . . . ,(uj,σj), . . . ,(uN,σN)},
- where N is the number of detected peaks in the CSS image;
- (D2) taking uj as a basis point to normalize the coordinate-peak set through a circular rotation as a normalized coordinate-peak set:
- {(ui,σi)}i=1, . . . ,NNormalized={(0,σj), . . . , (uj+1−uj,σj+1), . . . ,(1+u1−uj,σj), . . . , (1+uj−1−uj,σj−1)}
- where u1<u2< . . . <uj< . . . <uN and uj is a u-axis coordinate having a maximal peak in the coordinate-peak set;
- and
- (D3) selecting first T largest peaks as basis points to normalize the coordinate-peak set for obtaining T sets of normalized feature parameter FI={{(uiI,σiI)}i=1, . . . ,Nt−Normalized|t=1,2, . . . ,T}, where I is the input gesture image;
- and
- (E) comparing each feature parameter obtained in step (d) of the sets 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.
Dependencies are inferred from the claim text.