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Local features in natural images via...
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Damon, James, (1945-)
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Local features in natural images via singularity theory /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Local features in natural images via singularity theory // James Damon, Peter Giblin, Gareth Haslinger.
作者:
Damon, James,
其他作者:
Giblin, P. J.
出版者:
[Cham. Switzerland :Springer, : 2016.,
面頁冊數:
x, 255 p. :ill. (some col.) ;24 cm.
標題:
Singularities (Mathematics) -
ISBN:
9783319414706
ISSN:
0075-8434
Local features in natural images via singularity theory /
Damon, James,1945-
Local features in natural images via singularity theory /
James Damon, Peter Giblin, Gareth Haslinger. - [Cham. Switzerland :Springer,2016. - x, 255 p. :ill. (some col.) ;24 cm. - Lecture notes in mathematics,21650075-8434 ;. - Lecture notes in mathematics (Springer-Verlag) ;2165..
Includes bibliographical references.
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'seye. The goal is to detect geometric features of objects in the image and to separate regions of the objects with distinct visualproperties. 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 doso 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, whosefeatures 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.
ISBN: 9783319414706EUR1350
ISSN: 0075-8434
LCCN: 2016947050Subjects--Topical Terms:
588970
Singularities (Mathematics)
LC Class. No.: QA614.58 / .D36 2016
Dewey Class. No.: 514/.746
Local features in natural images via singularity theory /
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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'seye. The goal is to detect geometric features of objects in the image and to separate regions of the objects with distinct visualproperties. 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 doso 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, whosefeatures 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.
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