Image Category Recognition using Invariant and Discriminative Features

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.

Autorentext

Suresh Kannaiyan is the founding Director of Menmozhi Technologies, Bengaluru, India, where he focuses on AI based software development and consulting. Rajkumar Kannan is the Speaker, Consultant and Professor of Computer Science, besides Dean International Relations at Bishop Heber College, Tiruchirappalli, India.