As artificial intelligence and facial recognition gain importance in applications, local feature detection techniques are being applied more frequently. There have been many different local feature detection algorithms developed in recent decades. Choosing the most suitable algorithm for an application is a challenging task. This book reviews some local feature detection algorithms and helps with algorithm selection in applications.
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John Zhang is a professor of mathematics at the Indiana University of Pennsylvania. He earned his PhD in Mathematics from Syracuse University and holds Masters degrees in Business, Statistics, and Computer Science. His research interests primarily lie in the interdisciplinary areas between these fields.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As artificial intelligence and facial recognition gain importance in applications, local feature detection techniques are being applied more frequently. There have been many different local feature detection algorithms developed in recent decades. Choosing the most suitable algorithm for an application is a challenging task. This book reviews some local feature detection algorithms and helps with algorithm selection in applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Seller Inventory # 9783330326477
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Taschenbuch. Condition: Neu. A Review of Some Local Feature Detection Algorithms | John Zhang (u. a.) | Taschenbuch | 84 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330326477 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 109362609