Lingua: Inglese
Editore: Information Science Reference, 2012
ISBN 10: 1466618914 ISBN 13: 9781466618916
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Lingua: Inglese
Editore: Information Science Reference, 2012
ISBN 10: 1466618914 ISBN 13: 9781466618916
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Lingua: Inglese
Editore: Information Science Reference, 2012
ISBN 10: 1466618914 ISBN 13: 9781466618916
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Aggiungi al carrelloCondizione: New. pp. 395.
Lingua: Inglese
Editore: Information Science Reference, 2012
ISBN 10: 1466618914 ISBN 13: 9781466618916
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Lingua: Inglese
Editore: Information Science Reference, 2012
ISBN 10: 1466618914 ISBN 13: 9781466618916
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image mo.
Lingua: Inglese
Editore: Information Science Reference, 2012
ISBN 10: 1466618914 ISBN 13: 9781466618916
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Aggiungi al carrelloBuch. Condizione: Neu. Graph-Based Methods in Computer Vision | Developments and Applications | Jian Cheng (u. a.) | Buch | Gebunden | Englisch | 2012 | Information Science Reference | EAN 9781466618916 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Information Science Reference, 2012
ISBN 10: 1466618914 ISBN 13: 9781466618916
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital input images in many forms, including video and 3-D range data. Graph-Based Methods in Computer Vision: Developments and Applications presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.