Encoding contour shape by curvature extrema

Journal of the Optical Society of America. A, Optics and Image Science
W A RichardsD Whittington

Abstract

Curvature extrema provide significant information about the shape of an image contour, such as a silhouette, and are the basis for the Hoffman-Richards codon representation for shape. This representation based on curvature easily translates into a binary string that will describe the abstract shape of any smooth image curve. The computation of the basic shape primitives requires dealing with two ever-pervasive problems: contour noise and scale. We show how contour noise can be estimated given knowledge of the shape of the filter used to compute curvature from the edge list of the contour. To handle the scale problem, we use an adaptation of Witkin's scale space. Our algorithm differs from Witkin's by using a notion of parts to set criteria for significant structures.

References

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Citations

Nov 15, 2006·Proceedings of the National Academy of Sciences of the United States of America·Jacob Feldman, Manish Singh
Jan 6, 2005·Psychological Review·Jacob Feldman, Manish Singh
Jun 30, 2012·Biological cybernetics·Yuma MatsudaMasafumi Yano
Apr 1, 1995·Computer Methods and Programs in Biomedicine·J Fernández-ValdiviaJ M Fuertes
Jun 21, 2001·Perception & Psychophysics·A Kristjánsson, P U Tse
Jun 17, 1999·Perception & Psychophysics·M SinghD D Hoffman
Apr 1, 1997·Cognition·D D Hoffman, M Singh
Jan 1, 1992·Experimental Brain Research·A W Goodwin, H E Wheat
Nov 26, 2010·The European Journal of Neuroscience·Minami Ito, Naokazu Goda
Feb 22, 2003·Vision Research·Gunter LofflerFrances Wilkinson
Nov 22, 2014·Biological cybernetics·S Furman, Y Y Zeevi
Jan 1, 1996·Perception·K SiddiqiB B Kimia
Oct 1, 1992·Journal of the Optical Society of America. A, Optics and Image Science·H R Wilson, W A Richards
Jan 1, 1989·Journal of the Optical Society of America. A, Optics and Image Science·H R Wilson, W A Richards
Oct 24, 2020·Current Biology : CB·Ramanujan SrinathKristina J Nielsen

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