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 ...
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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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Add this copy of Image Category Recognition using Invariant and to cart. $65.68, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2024 by LAP Lambert Academic Publishing.
Add this copy of Image Category Recognition Using Invariant and to cart. $74.15, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2024 by LAP LAMBERT Academic Publishin.
