ID | 14087 |
JaLCDOI | |
Sort Key | 8
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フルテキストURL | |
著者 | |
抄録 | A rigorous accuracy analysis is given to various techniques for estimating parameters of geometric models from noisy data for computer vision applications. First, it is pointed out that parameter estimation for vision applications is very different in nature from traditional statistical analysis and hence a different mathematical framework is necessary in such a domain. After general theories on estimation and accuracy are given, typical existing techniques are selected, and their accuracy is evaluated up to higher order terms. This leads to a “hyperaccurate” method that outperforms existing methods.
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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 | 2007-01
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巻 | 41巻
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号 | 1号
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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 | 73
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終了ページ | 92
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ISSN | 0475-0071
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NCID | AA10699856
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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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