Optimal Conic Fitting and Reliability Evaluation
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概要
- 論文の詳細を見る
Introducing a mathematical model of image noise, we formalize the problem of fitting a conic to point data as statistical estimation. It is shown that the reliability of the fitted conic can be evaluated quantitatively in the form of the covariance tensor. We present a numerical scheme called renormalization for computing an optimal fit and at the same time evaluating its reliability. We also present a scheme for visualizing the reliability of the fit by means of the primary deviation pair. Our method is illustrated by showing simulations and real-image examples.
- 社団法人電子情報通信学会の論文
- 1996-09-25
著者
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KANATANI Kenichi
Department of Computer Science, Okayama University
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Kanazawa Yasushi
Department Of Knowledge-based Information Engineering Toyohashi University Of Technology
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Kanazawa Yasushi
Department Of Information And Computer Engineering Gunma College Of Technology
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Kanatani Kenichi
Department Of Computer Science Gunma University
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Kanazawa Yasushi
Department of Computer Science and Engineering, Toyohashi University of Technology
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