Presentation 1995/9/29
Extraction of Feature Points from Curves and Figure Recognition
Teruyuki KANEKO, Ryuzo TAKIYAMA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Methods for information compression and recognition of line drawings(curves) are proposed. For information compression, very smaller number of points(pixels), in comparison with the number of pixels consisting of a digital curve, are extracted, which are called feature points. The feature points extracted in this paper are zero points of a smoothed curvature function as well as points where the function takes maximum absolute values between adjacent zero points. We see that these points can be extracted stably. By using only the feature points line drawings are recognized in position, scaling and rotation invariant manner. To this end the method developed by authors - a method applying algebraic equations - is adopted. The method has several advantages over. those proposed so far. Experimental results are also shown.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Figure recognition / Feature points / Position-scaling-rotational invariant recognition / Coefficients of an algebraic equation / Curvature function / Identification
Paper # PRU95-131
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Conference Information
Committee PRU
Conference Date 1995/9/29(1days)
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Paper Information
Registration To Pattern Recognition and Understanding (PRU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extraction of Feature Points from Curves and Figure Recognition
Sub Title (in English)
Keyword(1) Figure recognition
Keyword(2) Feature points
Keyword(3) Position-scaling-rotational invariant recognition
Keyword(4) Coefficients of an algebraic equation
Keyword(5) Curvature function
Keyword(6) Identification
1st Author's Name Teruyuki KANEKO
1st Author's Affiliation Kyushu Institute of Design()
2nd Author's Name Ryuzo TAKIYAMA
2nd Author's Affiliation Kyushu Institute of Design
Date 1995/9/29
Paper # PRU95-131
Volume (vol) vol.95
Number (no) 279
Page pp.pp.-
#Pages 6
Date of Issue