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Image Category Recognition using Invariant and Discriminative Features - Softcover

 
9786208065966: Image Category Recognition using Invariant and Discriminative Features

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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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Suresh Kannaiyan
Published by LAP Lambert Academic Publishing, 2024
ISBN 10: 6208065968 ISBN 13: 9786208065966
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Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786208065966

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Kannaiyan, Suresh; Kannan, Rajkumar
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ISBN 10: 6208065968 ISBN 13: 9786208065966
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Published by LAP Lambert Academic Publishing, 2024
ISBN 10: 6208065968 ISBN 13: 9786208065966
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Paperback. Condition: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9786208065966

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Published by LAP Lambert Academic Publishing, 2024
ISBN 10: 6208065968 ISBN 13: 9786208065966
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Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786208065966

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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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch. Seller Inventory # 9786208065966

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