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Evaluating the Robustness of Local Image Features: Object Recognition with Stable Features - Softcover
Synopsis
In this thesis we examine a feature refinement technique that is based on scaling and rotating images prior to the features extraction. The main idea is that stable features of an image are not affected by any transformations of the image. As a consequence simulating these transformations and reducing the number of keypoints to the number of those keypoints that survive these simulations, results in a set of only stable keypoints for the image.
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About the Author
To Quyen Hoang, born 1988 in Hai-Phong (Vietnam), is living in Germany since 1989. Bachelor Computer Science and Multimedia at the University of Augsburg. Currently studying Master Computer Science and Multimedia at the University of Augsburg.
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Evaluating the Robustness of Local Image Features
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AV Akademikerverlag Aug 2014, 2014
ISBN 10: 3639456289
ISBN 13: 9783639456288
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this thesis we examine a feature refinement technique that is based on scaling and rotating images prior to the features extraction. The main idea is that stable features of an image are not affected by any transformations of the image. As a consequence simulating these transformations and reducing the number of keypoints to the number of those keypoints that survive these simulations, results in a set of only stable keypoints for the image. 52 pp. Englisch. Seller Inventory # 9783639456288
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Evaluating the Robustness of Local Image Features : Object Recognition with Stable Features
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this thesis we examine a feature refinement technique that is based on scaling and rotating images prior to the features extraction. The main idea is that stable features of an image are not affected by any transformations of the image. As a consequence simulating these transformations and reducing the number of keypoints to the number of those keypoints that survive these simulations, results in a set of only stable keypoints for the image. Seller Inventory # 9783639456288
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Evaluating the Robustness of Local Image Features
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hoang To QuyenTo Quyen Hoang, born 1988 in Hai-Phong (Vietnam), is living in Germany since 1989. Bachelor Computer Science and Multimedia at the University of Augsburg. Currently studying Master Computer Science and Multimedia at the. Seller Inventory # 4989809
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Evaluating the Robustness of Local Image Features
Published by
AV Akademikerverlag Aug 2014, 2014
ISBN 10: 3639456289
ISBN 13: 9783639456288
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this thesis we examine a feature refinement technique that is based on scaling and rotating images prior to the features extraction. The main idea is that stable features of an image are not affected by any transformations of the image. As a consequence simulating these transformations and reducing the number of keypoints to the number of those keypoints that survive these simulations, results in a set of only stable keypoints for the image.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9783639456288
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Evaluating the Robustness of Local Image Features | Object Recognition with Stable Features
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Evaluating the Robustness of Local Image Features | Object Recognition with Stable Features | To Quyen Hoang | Taschenbuch | 52 S. | Englisch | 2014 | AV Akademikerverlag | EAN 9783639456288 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106079348