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(Reference retrieved automatically from Google Scholar through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A graph-based approach for multiscale shape analysis

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Author(s):
da S Torres‚ R. ; Falcao‚ AX ; da F Costa‚ L.
Total Authors: 3
Document type: Journal article
Source: PATTERN RECOGNITION; v. 37, n. 6, p. 1163-1174, 2004.
Abstract

This paper presents two shape descriptors, multiscale fractal dimension and contour saliences, using a graph-based approach-the image foresting transform. It introduces a robust approach to locate contour saliences from the relation between contour and skeleton. The contour salience descriptor consists of a vector, with salience location and value along the contour, and a matching algorithm. We compare both descriptors with fractal dimension, Fourier descriptors, moment invariants, Curvature Scale Space and Beam Angle Statistics regarding to their invariance to object characteristics that belong to a same class (compact-ability) and to their ability to separate objects of distinct classes (separability). (C) 2003 Published by Elsevier Ltd on behalf of Pattern Recognition Society. (AU)

FAPESP's process: 99/12765-2 - Development and assessment of novel and accurate methods in shape analysis and computer vision
Grantee:Luciano da Fontoura Costa
Support Opportunities: Research Projects - Thematic Grants