Shape distances for contour tracking and motion estimation

Shape distances for contour tracking and motion estimation

The aim of this paper is to present two kinds of shape distances in a dynamic image context. Both are defined for closed curves. The first distance is obtained by invariant descriptors, under rigid motion, which verify a completeness and stability properties. The second one distance obtained by a Ha...

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Veröffentlicht in:Pattern recognition 1999-07, Vol.32 (7), p.1297-1306
Hauptverfasser: Daoudi, M., Ghorbel, F., Mokadem, A., Avaro, O., Sanson, H.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Contour tracking
Exact sciences and technology
Hausdorff distance
Invariant descriptors
Motion estimation
Pattern recognition. Digital image processing. Computational geometry
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Beschreibung
Zusammenfassung:The aim of this paper is to present two kinds of shape distances in a dynamic image context. Both are defined for closed curves. The first distance is obtained by invariant descriptors, under rigid motion, which verify a completeness and stability properties. The second one distance obtained by a Hausdorff distance that allows to estimate the motion parameters. These distances are tested on real images.
ISSN:0031-3203
1873-5142
DOI:10.1016/S0031-3203(98)00144-7