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Cited by 2,752

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Direct least square fitting of ellipses

Fitzgibbon, A., Pilu, M., Fisher, R.B.·1999·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

This work 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 proposed method combines several advantages: It is ellipse-specific, so that even bad data will always return an ellipse. It can be solved naturally by a generalized eigensystem. It is extremely robust, efficient, and easy to implement.

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Metadata

Authors
Fitzgibbon, A., Pilu, M., & Fisher, R. B.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1999-05
Volume
21
Issue
5
Pages
476-480
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2140427427
Cited by
2,752
References
17
FWCI
32.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Direct least square fitting of ellipses. https://app.cochat.ai/papers/10.1109/34.765658
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Fitzgibbon, A., Pilu, M., & Fisher, R. B. (1999). Direct least square fitting of ellipses. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.765658

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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.