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Titlebook: Hierarchical Perceptual Grouping for Object Recognition; Theoretical Views an Eckart Michaelsen,Jochen Meidow Book 2019 Springer Nature Swi

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发表于 2025-3-21 17:16:04 | 显示全部楼层 |阅读模式
书目名称Hierarchical Perceptual Grouping for Object Recognition
副标题Theoretical Views an
编辑Eckart Michaelsen,Jochen Meidow
视频videohttp://file.papertrans.cn/427/426146/426146.mp4
概述The first and only book to describe the approach to nested hierarchical perceptual grouping.Presents a roundup of all relevant Gestalt laws in a single source.Discusses all theoretical views on the pr
丛书名称Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: Hierarchical Perceptual Grouping for Object Recognition; Theoretical Views an Eckart Michaelsen,Jochen Meidow Book 2019 Springer Nature Swi
描述.This unique text/reference presents a unified approach to the formulation of Gestalt laws for perceptual grouping, and the construction of nested hierarchies by aggregation utilizing these laws. The book also describes the extraction of such constructions from noisy images showing man-made objects and clutter. Each Gestalt operation is introduced in a separate, self-contained chapter, together with application examples and a brief literature review. These are then brought together in an algebraic closure chapter, followed by chapters that connect the method to the data – i.e., the extraction of primitives from images, cooperation with machine-readable knowledge, and cooperation with machine learning..Topics and features: offers the first unified approach to nested hierarchical perceptual grouping; presents a review of all relevant Gestalt laws in a single source; covers reflection symmetry, frieze symmetry, rotational symmetry, parallelism and rectangular settings, contour prolongation, and lattices; describes the problem from all theoretical viewpoints, including syntactic, probabilistic, and algebraic perspectives; discusses issues important to practical application, such as pri
出版日期Book 2019
关键词Object recognition; Perceptual grouping; Nested hiearchical symmetries; Gestalt laws; Machine vision; rem
版次1
doihttps://doi.org/10.1007/978-3-030-04040-6
isbn_ebook978-3-030-04040-6Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer Nature Switzerland AG 2019
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发表于 2025-3-21 22:03:52 | 显示全部楼层
,Closure—Hierarchies of Gestalten,hat almost all Gestalten in it have assessments close to zero. The set of hierarchical Gestalten assessed better than an . and resulting from a finite set of primitives is finite. Still, this set can be very huge. In particular if we use the operations ., i.e., only taking into account the features
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Knowledge and Gestalt Interaction, recognize certain repetitive patterns in a hierarchy, while knowledge about urban objects and their mutual organization, as well as knowledge about spectra of certain materials, can be utilized for classification. 2) The synthetic aperture radar data used as example for lattice grouping
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Book 2019try, frieze symmetry, rotational symmetry, parallelism and rectangular settings, contour prolongation, and lattices; describes the problem from all theoretical viewpoints, including syntactic, probabilistic, and algebraic perspectives; discusses issues important to practical application, such as pri
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Hierarchical Perceptual Grouping for Object RecognitionTheoretical Views an
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Eckart Michaelsen,Jochen Meidowoperative Infektionsprophylaxe oder Nieren- und Leberinsuffizienz. Ein Ratgeber für die tägliche Arbeit in der Klinik: griffbereit, prägnant und übersichtlich...NEU: Jeweils Angabe der Tagestherapiekosten.
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Introduction,ero and one. This chapter also reviews related approaches to the topic. There are several important books that give alternative views, and continuous competition workshops on symmetry recognition are held along the major machine vision conferences, and of course, there are key publications in major journals.
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