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Titlebook: Local Features in Natural Images via Singularity Theory; James Damon,Peter Giblin,Gareth Haslinger Book 2016 Springer International Publis

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发表于 2025-3-21 18:44:13 | 显示全部楼层 |阅读模式
书目名称Local Features in Natural Images via Singularity Theory
编辑James Damon,Peter Giblin,Gareth Haslinger
视频video
概述Includes geometric features of objects, shade/shadow features, and apparent contours.Analyzes generic changes under viewer movement.Amply illustrated with computer generated images.Yields approach for
丛书名称Lecture Notes in Mathematics
图书封面Titlebook: Local Features in Natural Images via Singularity Theory;  James Damon,Peter Giblin,Gareth Haslinger Book 2016 Springer International Publis
描述This monograph considers a basic problem in the computer analysis of natural images, which are images of scenes involving multiple objects that are obtained by a camera lens or a viewer’s eye. The goal is to detect geometric features of objects in the image and to separate regions of the objects with distinct visual properties. When the scene is illuminated by a single principal light source, we further include the visual clues resulting from the interaction of the geometric features of objects, the shade/shadow regions on the objects, and the “apparent contours”.  We do so by a mathematical analysis using a repertoire of methods in singularity theory. This is applied for generic light directions of both the “stable configurations” for these interactions, whose features remain unchanged under small viewer movement, and the generic changes which occur under changes of view directions. These may then be used to differentiate between objects and determine their shapes and positions..
出版日期Book 2016
关键词Natural Images; Local Features; Singularity Theory on Stratified Spaces; Stable Views; Generic Changes u
版次1
doihttps://doi.org/10.1007/978-3-319-41471-3
isbn_softcover978-3-319-41470-6
isbn_ebook978-3-319-41471-3Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer International Publishing Switzerland 2016
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Apparent Contours for Projections of Smooth Surfacess. The starting point for this is the case where we have a single object whose boundary is a smooth surface . without geometric features. Hence, for the remainder of this chapter we always assume . is a compact smooth surface without boundary.
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0075-8434 lustrated with computer generated images.Yields approach forThis monograph considers a basic problem in the computer analysis of natural images, which are images of scenes involving multiple objects that are obtained by a camera lens or a viewer’s eye. The goal is to detect geometric features of obj
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Book 2016tained by a camera lens or a viewer’s eye. The goal is to detect geometric features of objects in the image and to separate regions of the objects with distinct visual properties. When the scene is illuminated by a single principal light source, we further include the visual clues resulting from the
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https://doi.org/10.1007/978-3-319-41471-3Natural Images; Local Features; Singularity Theory on Stratified Spaces; Stable Views; Generic Changes u
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