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Cited by 396

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Application of affine-invariant Fourier descriptors to recognition of 3-D objects

Arbter, K., Snyder, W.E., Burkhardt, H., Hirzinger, G.·1990·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

The method of Fourier descriptors is extended to produce a set of normalized coefficients which are invariant under any affine transformation (translation, rotation, scaling, and shearing). The method is based on a parameterized boundary description which is transformed to the Fourier domain and normalized there to eliminate dependencies on the affine transformation and on the starting point. Invariance to affine transforms allows considerable robustness when applied to images of objects which rotate in all three dimensions, as is demonstrated by processing silhouettes of aircraft maneuvering in three-space.>

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Metadata

Authors
Arbter, K., Snyder, W. E., Burkhardt, H., & Hirzinger, G.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1990-07
Volume
12
Issue
7
Pages
640-647
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2105664606
Cited by
396
References
9
FWCI
9.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Application of affine-invariant Fourier descriptors to recognition of 3-D objects. https://app.cochat.ai/papers/10.1109/34.56206
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Arbter, K., Snyder, W. E., Burkhardt, H., & Hirzinger, G. (1990). Application of affine-invariant Fourier descriptors to recognition of 3-D objects. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.56206

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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.