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A theory of multiscale, curvature-based shape representation for planar curves

Mokhtarian, F., Mackworth, A.K.·1992·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

A shape representation technique suitable for tasks that call for recognition of a noisy curve of arbitrary shape at an arbitrary scale or orientation is presented. The method rests on the describing a curve at varying levels of detail using features that are invariant with respect to transformations that do not change the shape of the curve. Three different ways of computing the representation are described. They result in three different representations: the curvature scale space image, the renormalized curvature scale space image, and the resampled curvature scale space image. The process of describing a curve at increasing levels of abstraction is referred to as the evolution or arc length evolution of that curve. Several evolution and arc length evolution properties of planar curves are discussed.>

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Metadata

Authors
Mokhtarian, F., & Mackworth, A. K.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1992
Volume
14
Issue
8
Pages
789-805
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2072738093
Cited by
940
References
26
FWCI
17.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A theory of multiscale, curvature-based shape representation for planar curves. https://app.cochat.ai/papers/10.1109/34.149591
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Mokhtarian, F., & Mackworth, A. K. (1992). A theory of multiscale, curvature-based shape representation for planar curves. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.149591

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.