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Titlebook: Geometry-Driven Diffusion in Computer Vision; Bart M. Haar Romeny Book 1994 Springer Science+Business Media Dordrecht 1994 Diffusion.Optim

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书目名称Geometry-Driven Diffusion in Computer Vision
编辑Bart M. Haar Romeny
视频video
丛书名称Computational Imaging and Vision
图书封面Titlebook: Geometry-Driven Diffusion in Computer Vision;  Bart M. Haar Romeny Book 1994 Springer Science+Business Media Dordrecht 1994 Diffusion.Optim
描述Scale is a concept the antiquity of which can hardly be traced. Certainly the familiar phenomena that accompany sc ale changes in optical patterns are mentioned in the earliest written records. The most obvious topological changes such as the creation or annihilation of details have been a topic to philosophers, artists and later scientists. This appears to of fascination be the case for all cultures from which extensive written records exist. For th instance, chinese 17 c artist manuals remark that "distant faces have no eyes" . The merging of details is also obvious to many authors, e. g. , Lucretius mentions the fact that distant islands look like a single one. The one topo­ logical event that is (to the best of my knowledge) mentioned only late (by th John Ruskin in his "Elements of drawing" of the mid 19 c) is the splitting of a blob on blurring. The change of images on a gradual increase of resolu­ tion has been a recurring theme in the arts (e. g. , the poetic description of the distant armada in Calderon‘s The Constant Prince) and this "mystery" (as Ruskin calls it) is constantly exploited by painters.
出版日期Book 1994
关键词Diffusion; Optimal control; anisotropic diffusion; computer vision; image processing; modeling; system; par
版次1
doihttps://doi.org/10.1007/978-94-017-1699-4
isbn_softcover978-90-481-4461-7
isbn_ebook978-94-017-1699-4Series ISSN 1381-6446
issn_series 1381-6446
copyrightSpringer Science+Business Media Dordrecht 1994
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Bayesian Rationale for the Variational Formulation,o distinct objects in the scene, are visible, Although this sometimes requires high level knowledge about the shape and surface appearance of various classes of objects, there are many low-level clues about the appearance of the individual surface patches and the boundaries between them. For example
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Minimization of Energy Functional with Curve-Represented Edges,han the inner scale (corresponding to the pixel size,) of the image, these operators always incorporate some averaging or similar mechanism for suppressing fine scale variations. As a consequence the detected edges get blurred and may be displaced. These problems can be circumvented by applying some
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Differential Invariant Signatures and Flows in Computer Vision: A Symmetry Group Approach, Some classical results on differential invariants associated to planar curves are relevant to planar object recognition under different views and partial occlusion, and recent results concerning the evolution of planar shapes under curvature controlled diffusion have found applications in geometric
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