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Local Features in Natural Images via Singularity Theory: 2165 (Lecture Notes in Mathematics, 2165) - Softcover
Synopsis
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.
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From the Back Cover
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.
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Local Features in Natural Images via Singularity Theory.
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ISBN 10: 3319414704
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Local Features in Natural Images via Singularity Theory.
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Local Features in Natural Images Via Singularity Theory
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Local Features in Natural Images via Singularity Theory (Lecture Notes in Mathematics)
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Local Features in Natural Images via Singularity Theory (Lecture Notes in Mathematics, 2165)
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Local Features in Natural Images via Singularity Theory
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ISBN 10: 3319414704
ISBN 13: 9783319414706
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 268 pp. Englisch. Seller Inventory # 9783319414706
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Local Features in Natural Images via Singularity Theory
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Springer International Publishing, 2016
ISBN 10: 3319414704
ISBN 13: 9783319414706
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783319414706
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Local Features in Natural Images Via Singularity Theory
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Local Features in Natural Images via Singularity Theory
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Springer International Publishing, 2016
ISBN 10: 3319414704
ISBN 13: 9783319414706
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Seller Inventory # 121798590
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Local Features in Natural Images via Singularity Theory (Lecture Notes in Mathematics, 2165)
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