Image category recognition is a hot topic of research in Computer Vision due to its increasing number of applications including video surveillance and medical image classification. Finding an image category is a very challenging task due to variations in illumination, scale, view point, rotation, blur, occlusion and translation. The objective of this book is to build local image features that are invariant to various geometric (e.g., changes in scale, rotation, translation), photometric transformations (e.g., illumination and blur) and improve accuracy of image category recognition, by proposing the novel image region descriptors.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image category recognition is a hot topic of research in Computer Vision due to its increasing number of applications including video surveillance and medical image classification. Finding an image category is a very challenging task due to variations in illumination, scale, view point, rotation, blur, occlusion and translation. The objective of this book is to build local image features that are invariant to various geometric (e.g., changes in scale, rotation, translation), photometric transformations (e.g., illumination and blur) and improve accuracy of image category recognition, by proposing the novel image region descriptors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Seller Inventory # 9786208065966
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Taschenbuch. Condition: Neu. Image Category Recognition using Invariant and Discriminative Features | Suresh Kannaiyan (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208065966 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 130391468
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