书目名称 | Hierarchical Perceptual Grouping for Object Recognition | 副标题 | Theoretical Views an | 编辑 | Eckart Michaelsen,Jochen Meidow | 视频video | http://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 |  | 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 | doi | https://doi.org/10.1007/978-3-030-04040-6 | isbn_ebook | 978-3-030-04040-6Series ISSN 2191-6586 Series E-ISSN 2191-6594 | issn_series | 2191-6586 | copyright | Springer Nature Switzerland AG 2019 |
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