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Cited by 289

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Direct least squares fitting of ellipses

Fitzgibbon, A.W., Pilu, M., Fisher, R.B.·1996·Proceedings of 13th International Conference on Pattern Recognition

Abstract

This paper presents a new efficient method for fitting ellipses to scattered data. Previous algorithms either fitted general conics or were computationally expensive. By minimizing the algebraic distance subject to the constraint 4ac-b/sup 2/=1 the new method incorporates the ellipticity constraint into the normalization factor. The new method combines several advantages: 1) it is ellipse-specific so that even bad data will always return an ellipse; 2) it can be solved naturally by a generalized eigensystem, and 3) it is extremely robust, efficient and easy to implement. We compare the proposed method to other approaches and show its robustness on several examples in which other nonellipse-specific approaches would fail or require computationally expensive iterative refinements.

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Crossref · 10.1109/icpr.1996.546029

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Metadata

Authors
Fitzgibbon, A. W., Pilu, M., & Fisher, R. B.
Venue
Proceedings of 13th International Conference on Pattern Recognition
Publisher
IEEE
Published
1996
Pages
253-257 vol.1
ISSN
1041-3278 (ISSN-L)
OpenAlex
W4237371814
Cited by
289
References
1
FWCI
5.43
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Direct least squares fitting of ellipses. https://app.cochat.ai/papers/10.1109/icpr.1996.546029
The paper
Fitzgibbon, A. W., Pilu, M., & Fisher, R. B. (1996). Direct least squares fitting of ellipses. Proceedings of 13th International Conference on Pattern Recognition. https://doi.org/10.1109/icpr.1996.546029

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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.