Feature-based hierarchical shape matching

Anthony J. Maeder

doi:10.1109/ANZIIS.1994.396985

Feature-based hierarchical shape matching

Anthony J. Maeder

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

A technique for matching 2D regions in digital images using shape signatures is described. Successive derived signatures at varying resolutions are produced first, in which major shape feature information for the region being represented is preserved. Correspondences between the shape features for two different regions are established using a pair of derived signatures of similar resolution. A featural error sum is then computed to provide a measure of dissimilarity between the regions. Coarse resolution versions of candidate regions are compared first to allow unlikely cases to be rejected rapidly and then refined versions of the remaining cases are considered. Some experimental results for leaf outline data are presented and compared with those obtained when only the original signatures are considered.

Original language	English
Pages	342-346
Number of pages	5
DOIs	https://doi.org/10.1109/ANZIIS.1994.396985
Publication status	Published - 1 Dec 1994
Externally published	Yes
Event	Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems - Brisbane, Aust Duration: 29 Nov 1994 → 2 Dec 1994

Conference

Conference	Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems
City	Brisbane, Aust
Period	29/11/94 → 2/12/94

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Cite this

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abstract = "A technique for matching 2D regions in digital images using shape signatures is described. Successive derived signatures at varying resolutions are produced first, in which major shape feature information for the region being represented is preserved. Correspondences between the shape features for two different regions are established using a pair of derived signatures of similar resolution. A featural error sum is then computed to provide a measure of dissimilarity between the regions. Coarse resolution versions of candidate regions are compared first to allow unlikely cases to be rejected rapidly and then refined versions of the remaining cases are considered. Some experimental results for leaf outline data are presented and compared with those obtained when only the original signatures are considered.",

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AB - A technique for matching 2D regions in digital images using shape signatures is described. Successive derived signatures at varying resolutions are produced first, in which major shape feature information for the region being represented is preserved. Correspondences between the shape features for two different regions are established using a pair of derived signatures of similar resolution. A featural error sum is then computed to provide a measure of dissimilarity between the regions. Coarse resolution versions of candidate regions are compared first to allow unlikely cases to be rejected rapidly and then refined versions of the remaining cases are considered. Some experimental results for leaf outline data are presented and compared with those obtained when only the original signatures are considered.

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T2 - Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems

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ER -

Feature-based hierarchical shape matching

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