A collection of books related to Deep Learning and Neural Networks, including (but not limited to): Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), Convolutional Neural Network (CNN, or ConvNet), GANs, etc.

This guide is an essential overvew for anyone who would like to understand the techniques for Machine Vision analysis, including systems for industrial inspection, biomedical analysis, and much more.

This book presents a new theory and methodology for the application of computer vision methods to the computational analysis of collected, digitized visual materials, called “distant viewing”.

This book explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications as well as for fun, consumer-level tasks.

This book provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features.

It shows you how to create software for rendering complete three-dimensional scenes, explains the foundational theoretical concepts as well as the practical programming techniques that will enable you to create your own animated and interactive worlds.

The book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. The detailed methodological presentation is useful for practitioners of computer vision.

This book is a hands-on introduction to computer vision using Python. It gives an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers.

This book explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications such as medical imaging and fun consumer-level tasks such as image editing and stitching, etc.

This book presents a new approach to numerical analysis for modern computer scientists, covers a wide range of topics - from numerical linear algebra to optimization and differential equations - focusing on real-world motivation and unifying themes.

This book presents computer vision on application of robotics, and on advanced approachs for computer vision (such as omnidirectional vision), research on RFID technology integrating stereo vision to localize an indoor mobile robot, etc.

This book is the construction of explicit, meaningful descriptions of physical objects from images. Image understanding is very different from image processing, which studies image-to-image transformations, not explicit description building.

This book targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, it delivers complete projects from ideation to running code, targeting current hot topics, etc.

This book is written to provide an introduction to intelligent robotics using OpenCV. It gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated Robotics applications.

This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the both biometrics and media forensics fields.

Automated facial recognition algorithms are increasingly intervening in society. This book offers a unique analysis of these algorithms from a critical visual culture studies perspective.

Media forensics has never been more relevant to societal life. This book presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics.

This book is a concise reference for professionals in a wide range of applications and vocations. It focuses on giving the reader mastery over the concepts, methods and metrics of digital video coding.

The aim of this book is to provide new ideas, original results and practical experiences regarding service robotics. This book provides only a small example of this research activity, but it covers a great deal of what has been done in the field recently.

The book critically examines artworks that use AI, be it in the form of visual style transfer, algorithmic experiment or critical commentary. It also engages with their predecessors, including robotic art and net art.

This text is intended to provide a balanced introduction to Machine Vision. Basic concepts are introduced with only essential mathematical elements. Intentionally omits theories of machine vision that do not have sufficient practical applications at this time.

By exploiting the low cost computational power of off the shell computing devices, Machine Vision is not limited any more to industrial environments, but it is now pervasive to support system solutions of everyday life problems.

This book provides an introduction to the fundamental principles of Machine Vision for students. Emphasis is laid on providing the reader with a solid grounding in the basic tools for image acquisition, processing and analysis.

Image analysis and processing is steadily gaining relevance within the large number of application fields to which genetic and evolutionary computation (GEC) techniques are applied. This book is the first attempt to offer a panoramic view on the field.

A comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.

This book provides the first general framework, based on universal statistical properties of natural images, of detecting tampering and authenticating digital images that has been successfully applied to three problems in digital image forensics.

It discusses spatial augmented reality approaches that exploit optical elements, video projectors, holograms, radio frequency tags, and tracking technology, as well as interactive rendering algorithms and calibration techniques in order to embed synthetic supplements into the real environment or into a live video of the real environment.

This book describes some of the technical methods and systems used for document processing of text and graphics images. The methods have grown out of the fields of digital signal processing, digital image processing, and pattern recognition.

This exclusive report unpacks concepts and innovations that represent the frontiers of ever-smarter machines. You'll get a rare glimpse into this exciting field through the eyes of some of its leading minds.

Beginning with an introductory chapter on the basic concepts, the authors develop these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems.

This book provides the first general framework, based on universal statistical properties of natural images, of detecting tampering and authenticating digital images that has been successfully applied to three problems in digital image forensics.

This book is focusing on the experience of particular disciplines in applying computational methods to humanities research problems; the basic principles of humanities computing across applications and disciplines; specific applications and methods; and production, dissemination, and archiving.

This book is both an introductory textbook and a research monograph on modelling the statistical structure of natural images. The statistical structure is described using a number of statistical models whose parameters are estimated from image samples.

This book is the official reference guide for VTK - the theory and practice of visualization using the VTK Visualization Toolkit software. It provides thorough descriptions of important visualization algorithms, including example images and code.

Provide sufficient introductory material for engineering graduate students with background in programming in C and C++ to acquire the skills to leverage modern open source toolkits in medical image analysis and visualization.