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Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
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Condition: New. pp. 364.
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US$ 33.09
Convert currencyUS$ 8.74 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New. pp. 364 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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US$ 37.27
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Add to basketCondition: New. pp. 364.
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US$ 59.54
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Condition: New.
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Shape, Contour and Grouping in Computer Vision (Lecture Notes in Computer Science, 1681)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 68.01
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Add to basketCondition: New. In.
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US$ 66.17
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Shape, Contour and Grouping in Computer Vision
Published by Springer Berlin Heidelberg, 1999
ISBN 10: 3540667229 ISBN 13: 9783540667223
Language: English
US$ 58.09
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Add to basketKartoniert / Broschiert. Condition: New.
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Shape, Contour and Grouping in Computer Vision
Published by Springer Berlin Heidelberg, 1999
ISBN 10: 3540667229 ISBN 13: 9783540667223
Language: English
US$ 64.24
Convert currencyUS$ 73.18 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon's view of a patient, and to recognise some of the gestures a user makes to a computer. Object recognition remains a very di cult problem, however. The key questions to understand in recognition seem to be: (1) how objects should be represented and (2) how to manage the line of reasoning that stretches from image data to object identity. An important part of the process of recognition { perhaps, almost all of it { involves assembling bits of image information into helpful groups. There is a wide variety of possible criteria by which these groups could be established { a set of edge points that has a symmetry could be one useful group; others might be a collection of pixels shaded in a particular way, or a set of pixels with coherent colour or texture. Discussing this process of grouping requires a detailed understanding of the relationship between what is seen in the image and what is actually out there in the world.
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US$ 106.60
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Add to basketPaperback. Condition: Like New. Like New. book.
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Shape, Contour and Grouping in Computer Vision
Published by Springer Berlin Heidelberg Nov 1999, 1999
ISBN 10: 3540667229 ISBN 13: 9783540667223
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 96.38
Convert currencyUS$ 26.82 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon's view of a patient, and to recognise some of the gestures a user makes to a computer. Object recognition remains a very di cult problem, however. The key questions to understand in recognition seem to be: (1) how objects should be represented and (2) how to manage the line of reasoning that stretches from image data to object identity. An important part of the process of recognition { perhaps, almost all of it { involves assembling bits of image information into helpful groups. There is a wide variety of possible criteria by which these groups could be established { a set of edge points that has a symmetry could be one useful group; others might be a collection of pixels shaded in a particular way, or a set of pixels with coherent colour or texture. Discussing this process of grouping requires a detailed understanding of the relationship between what is seen in the image and what is actually out there in the world. 364 pp. Englisch.
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Shape, Contour and Grouping in Computer Vision
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 1999, 1999
ISBN 10: 3540667229 ISBN 13: 9783540667223
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 64.24
Convert currencyUS$ 69.96 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon¿s view of a patient, and to recognise some of the gestures a user makes to a computer. Object recognition remains a very di cult problem, however. The key questions to understand in recognition seem to be: (1) how objects should be represented and (2) how to manage the line of reasoning that stretches from image data to object identity. An important part of the process of recognition { perhaps, almost all of it { involves assembling bits of image information into helpful groups. There is a wide variety of possible criteria by which these groups could be established { a set of edge points that has a symmetry could be one useful group; others might be a collection of pixels shaded in a particular way, or a set of pixels with coherent colour or texture. Discussing this process of grouping requires a detailed understanding of the relationship between what is seen in the image and what is actually out there in the world.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 364 pp. Englisch.
