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Titlebook: Discrete Geometry for Computer Imagery; 19th IAPR Internatio Nicolas Normand,Jeanpierre Guédon,Florent Autrusse Conference proceedings 2016

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書(shū)目名稱Discrete Geometry for Computer Imagery
副標(biāo)題19th IAPR Internatio
編輯Nicolas Normand,Jeanpierre Guédon,Florent Autrusse
視頻videohttp://file.papertrans.cn/282/281129/281129.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Discrete Geometry for Computer Imagery; 19th IAPR Internatio Nicolas Normand,Jeanpierre Guédon,Florent Autrusse Conference proceedings 2016
描述.Thisbook constitutes the refereed proceedings of the 19th IAPR InternationalConference on Discrete Geometry for Computer Imagery, DGCI 2016, held in Nantes,France, in April 2016.?.The 32 revised full papers presented together with 2invited talks were carefully selected from 51 submissions. The papers areorganized in topical sections on combinatorial tools; discretization; discretetomography; discrete and combinatorial topology; shape descriptors; models fordiscrete geometry; circle drawing; morphological analysis; geometrictransforms; and discrete shape representation, recognition and analysis..
出版日期Conference proceedings 2016
關(guān)鍵詞combinatorial analysis; computer vision; discrete geometry; image processing; pattern recognition; affine
版次1
doihttps://doi.org/10.1007/978-3-319-32360-2
isbn_softcover978-3-319-32359-6
isbn_ebook978-3-319-32360-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2016
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/281129.jpg
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Supply Chain Design: In An Outsourcing WorldWe propose a symmetric thinning scheme for cubical or simplicial complexes of dimension 2 or 3. We show how to obtain, with a same generic thinning scheme, ultimate, curve or surface skeletons that are uniquely defined (no arbitrary choice is done).
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Christopher Sürie,Michael Wagnerast as inverse problems: image restoration: noise reduction, deconvolution; segmentation, tomography, demosaicing, inpaiting, and many others, are examples of such tasks. Typically, inverse problems are ill-posed, and solving these problems efficiently and effectively is a major, ongoing topic of re
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