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Order parameters for detecting target curves in images: When does high level knowledge help?

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Publication:1859565
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DOI10.1023/A:1011156931605zbMath1012.68716OpenAlexW1584319092MaRDI QIDQ1859565

Ying Nian Wu, Song-Chun Zhu, James M. Coughlan, Alan L. Yuille

Publication date: 19 February 2003

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1011156931605


zbMATH Keywords

order parametersBayesian inferencecurve detectionminimax entropy


Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99) Machine vision and scene understanding (68T45)


Related Items (3)

Maximal meaningful events and applications to image analysis ⋮ Finding a needle in a haystack: conditions for reliable detection in the presence of clutter ⋮ Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking






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