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Titlebook: Computer Vision — ECCV ’92; Second European Conf G. Sandini Conference proceedings 1992 Springer-Verlag Berlin Heidelberg 1992 3D.Bewegungs

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發(fā)表于 2025-3-21 16:48:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer Vision — ECCV ’92
副標(biāo)題Second European Conf
編輯G. Sandini
視頻videohttp://file.papertrans.cn/235/234301/234301.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision — ECCV ’92; Second European Conf G. Sandini Conference proceedings 1992 Springer-Verlag Berlin Heidelberg 1992 3D.Bewegungs
描述This volume collects the papers accepted for presentation atthe Second European Conference on Computer Vision, held inSanta Margherita Ligure,Italy, May 19-22, 1992. Sixteenlong papers, 41 short papers and 48 posters were selectedfrom 308 submissions.The contributions are structuredinto 14 sections reflectingthe major research topics in computer visioncurrentlyinvestigated worldwide. The sections are entitled:features,color, calibration and matching, depth, stereo-motion,tracking, active vision, binocular heads, curved surfacesand objects, reconstruction and shape, recognition,andapplications.
出版日期Conference proceedings 1992
關(guān)鍵詞3D; Bewegungsanalyse; Bildanalyse; Computer Animation; Computer Vision; Image Analysis; Motion Estimation;
版次1
doihttps://doi.org/10.1007/3-540-55426-2
isbn_softcover978-3-540-55426-4
isbn_ebook978-3-540-47069-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1992
The information of publication is updating

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沙發(fā)
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Families of tuned scale-space kernels,which are apt for the measurement of a specific physical observable. The parameters are introduced in order to associate a continuum of a priori equivalent kernels with each scale-space kernel, each of which is tuned to a particular parameter value..Ensemble averages, or other functional operations
板凳
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地板
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,The M?bius strip parameterization for line extraction,including the popular Hough transform. Then, we proceed with describing the novel parameter mapping and argue for its properties. The topology of the mapping introduces its name, the “M?bius strip” parameterization. This mapping has topological advantages over previously proposed mappings.
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Edge tracing in a priori known direction, fragments of approximately constant direction. This enables the implementation of one edge detector mask only in a given area and simplifies the thinning procedure. The way of searching for starting points is discussed as well as choosing and joining fragments of edges assuring the best corresponde
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Deterministic pseudo-annealing: Optimization in Markov-Random-Fields an application to pixel classiis an extension of previous relaxation labeling by optimization algorithms. First, the a posteriori probability of a tentative labeling, defined in terms of a Markov Random Field is generalized to continuous labelings. This merit function of probabilistic vectors is then convexified by changing its
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發(fā)表于 2025-3-23 05:14:58 | 只看該作者
Distributed belief revision for adaptive image processing regulation,It is shown that, under suitable hypotheses, the problem can be solved by maximizing, in a distributed way, the product of computationally more tractable conditional probabilities. As a case study, the implementation of an architecture made up of four units is investigated.
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