Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbookKey Features[*] Your quick guide to implementing TensorFlow in your day-to-day machine learning activities[*] Learn advanced techniques that bring more accuracy and speed to machine learning[*] Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlowBook DescriptionTensorFlow is an open source software library for Machine Intelligence.
Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3Key Features[*]Written to the latest, gold-standard specification of OpenCV 3[*]Master OpenCV, the open source library of the computer vision community[*]Master fundamental concepts in computer vision and image processing[*]Learn about the important classes and functions of OpenCV with complete working examples applied to real imagesBook DescriptionMaking your applications see has never been easier with OpenCV.
Build, create, and deploy your own computer vision applications with the power of OpenCVKey Features[*] This book provides hands-on examples that cover the major features that are part of any important Computer Vision application[*] It explores important algorithms that allow you to recognize faces, identify objects, extract features from images, help your system make meaningful predictions from visual data, and much more[*] All the code examples in the book are based on OpenCV 3.
Build, create, and deploy your own computer vision applications with the power of OpenCVKey Features[*] This book provides hands-on examples that cover the major features that are part of any important Computer Vision application[*] It explores important algorithms that allow you to recognize faces, identify objects, extract features from images, help your system make meaningful predictions from visual data, and much more[*] All the code examples in the book are based on OpenCV 3.
This book presents a novel method of multimodal biometric fusion using a random selection of biometrics, which covers a new method of feature extraction, a new framework of sensor-level and feature-level fusion.
In smart cities, information and communication technologies are integrated to exchange real-time data between citizens, governments, and organizations.
Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics.
Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications.
In Understanding Image Registration, two applications of image registration are discussed: the retinal image registration method and the far infrared image registration method.
Interest in computer vision and image processing has grown in recent years with the advancement of everyday technologies such as smartphones, computer games, and social robotics.
Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design.
Anomaly detection in video surveillance stands at the core of numerous real-world applications that have broad impact and generate significant academic and industrial value.
A Systematic Approach to Learning Robot Programming with ROS provides a comprehensive, introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation.
A Systematic Approach to Learning Robot Programming with ROS provides a comprehensive, introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation.
Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios.
Visual Tracking in Conventional Minimally Invasive Surgery introduces the various tools and methodologies that can be used to enhance a conventional surgical setup with some degree of automation.
With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially.
Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more.
Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications.
Anomaly detection in video surveillance stands at the core of numerous real-world applications that have broad impact and generate significant academic and industrial value.
Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence.
Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence.
Whether youre a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin.
Whether youre a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin.
In a rapidly evolving world where technology is increasingly integrated into our daily lives, security has become a top priority for individuals, organizations, and governments.
Utilize modern methods for digital image processing and take advantage of the many time-saving templates provided for all of the projects in this book.
Teach yourself programming starting with the basics and progressing to a series of exciting projects using Kotlin, one of today's hottest programming languages.
Utilize modern methods for digital image processing and take advantage of the many time-saving templates provided for all of the projects in this book.
Digital Image Compositing Fundamentals is an introductory title covering concepts central to digital imagery and digital image compositing using software packages such as Adobe Photoshop or the open source GIMP software, which is used for this book because it is free for commercial use.