ID | 19958 |
JaLCDOI | |
Sort Key | 6
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フルテキストURL | |
著者 |
Rangrajan Prasanna
Department of Electrical Engineering Southern Methodist University
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抄録 | This paper presents a new method for fitting an ellipse to a point sequence extracted from images. It is widely known that the best fit is obtained by maximum likelihood. However, it requires iterations, which may not converge in the presence of large noise. Our approach is algebraic distance minimization; no iterations are required. Exploiting the fact that the solution depends on the way the scale is normalized, we analyze the accuracy to high order error terms with the scale normalization weight unspecified and determine it so that the bias is zero up to the second order. We demonstrate by experiments that our method is superior to the Taubin method, also algebraic
and known to be highly accurate.
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出版物タイトル |
Memoirs of the Faculty of Engineering, Okayama University
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発行日 | 2010-01
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巻 | 44巻
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出版者 | Faculty of Engineering, Okayama University
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出版者(別表記) | 岡山大学工学部
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開始ページ | 42
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終了ページ | 49
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ISSN | 1349-6115
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NCID | AA12014085
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資料タイプ |
紀要論文
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OAI-PMH Set |
岡山大学
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言語 |
英語
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論文のバージョン | publisher
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NAID | |
Eprints Journal Name | mfe
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