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Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision

Fake Photos (Paperback): Hany Farid Fake Photos (Paperback)
Hany Farid
R274 R227 Discovery Miles 2 270 Save R47 (17%) Shipped within 7 - 11 working days

Forthcoming from the MIT Press

Explainable and Interpretable Models in Computer Vision and Machine Learning (Book, 1st ed. 2018): Hugo Jair Escalante, Sergio... Explainable and Interpretable Models in Computer Vision and Machine Learning (Book, 1st ed. 2018)
Hugo Jair Escalante, Sergio Escalera, Isabelle Guyon, Xavier Baro, Yagmur Gucluturk, …
R2,006 R1,780 Discovery Miles 17 800 Save R226 (11%) Shipped within 7 - 12 working days

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: * Evaluation and Generalization in Interpretable Machine Learning * Explanation Methods in Deep Learning * Learning Functional Causal Models with Generative Neural Networks * Learning Interpreatable Rules for Multi-Label Classification * Structuring Neural Networks for More Explainable Predictions * Generating Post Hoc Rationales of Deep Visual Classification Decisions * Ensembling Visual Explanations * Explainable Deep Driving by Visualizing Causal Attention * Interdisciplinary Perspective on Algorithmic Job Candidate Search * Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions * Inherent Explainability Pattern Theory-based Video Event Interpretations

Pattern Recognition and Machine Learning (Hardcover, 1st ed. 2006. Corr. 2nd printing 2011): Christopher M. Bishop Pattern Recognition and Machine Learning (Hardcover, 1st ed. 2006. Corr. 2nd printing 2011)
Christopher M. Bishop
R1,506 R1,355 Discovery Miles 13 550 Save R151 (10%) Shipped within 7 - 12 working days

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play (Paperback): David Foster Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play (Paperback)
David Foster
R1,434 R806 Discovery Miles 8 060 Save R628 (44%) Shipped within 7 - 12 working days

Generative modeling is one of the hottest topics in artificial intelligence. Recent advances in the field have shown how it's possible to teach a machine to excel at human endeavors-such as drawing, composing music, and completing tasks-by generating an understanding of how its actions affect its environment. With this practical book, machine learning engineers and data scientists will learn how to recreate some of the most famous examples of generative deep learning models, such as variational autoencoders and generative adversarial networks (GANs). You'll also learn how to apply the techniques to your own datasets. David Foster, cofounder of Applied Data Science, demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to the most cutting-edge algorithms in the field. Through tips and tricks, you'll learn how to make your models learn more efficiently and become more creative. Get a fundamental overview of deep learning Learn about libraries such as Keras and TensorFlow Discover how variational autoencoders work Get practical examples of generative adversarial networks (GANs) Understand how autoregressive generative models function Apply generative models within a reinforcement learning setting to accomplish tasks

Machine Vision Algorithms and Applications (Paperback): Carsten Steger, Markus Ulrich, Christian Wiedemann Machine Vision Algorithms and Applications (Paperback)
Carsten Steger, Markus Ulrich, Christian Wiedemann
R1,244 R1,111 Discovery Miles 11 110 Save R133 (11%) Shipped within 7 - 12 working days

"Machine Vision Algorithms and Applications" is the first up-to-date textbook for machine vision software provides all the details on the theory and practical use of the relevant algorithms.
The first part covers image acquisition, including illumination, lenses, cameras, frame grabbers, and bus systems, while the second deals with the algorithms themselves. This includes data structures, image enhancement and transformations, segmentation, feature extraction, morphology, template matching, stereo reconstruction, and camera calibration. The final part concentrates on applications, and features real-world examples, example code with HALCON, and further exercises.
Uniting the latest research results with an industrial approach, this textbook is ideal for students of electrical engineering, physics and informatics, electrical and mechanical engineers, as well as those working in the sensor, automation and optical industries.
Free software available with registration code

Computer Vision - Algorithms and Applications (Hardcover, Edition.): Richard Szeliski Computer Vision - Algorithms and Applications (Hardcover, Edition.)
Richard Szeliski
R1,783 R1,371 Discovery Miles 13 710 Save R412 (23%) Shipped within 7 - 12 working days

Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art?

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.

More than just a source of recipes, this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques

Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory Suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book Supplies supplementary course material for students at the associated website, http: //szeliski.org/Book/

Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision."

Practical Guide to Machine Vision Software - An Introduction with LabVIEW (Paperback): Kye-Si Kwon, Steven Ready Practical Guide to Machine Vision Software - An Introduction with LabVIEW (Paperback)
Kye-Si Kwon, Steven Ready
R1,296 Discovery Miles 12 960 Shipped within 7 - 12 working days

For both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments. Following a short introduction to the basics of machine vision and the technical procedures of image acquisition, the book goes on to guide readers in the use of the various software functions of LabView's machine vision module. It covers typical machine vision tasks, including particle analysis, edge detection, pattern and shape matching, dimension measurements as well as optical character recognition, enabling readers to quickly and efficiently use these functions for their own machine vision applications. A discussion of the concepts involved in programming the Vision Development Module rounds off the book, while example problems and exercises are included for training purposes as well as to further explain the concept of machine vision. With its step-by-step guide and clear structure, this is an essential reference for beginners and experienced researchers alike.

Object Categorization - Computer and Human Vision Perspectives (Hardcover): Sven J. Dickinson, Ales Leonardis, Bernt Schiele,... Object Categorization - Computer and Human Vision Perspectives (Hardcover)
Sven J. Dickinson, Ales Leonardis, Bernt Schiele, Michael J. Tarr
R2,793 R2,542 Discovery Miles 25 420 Save R251 (9%) Shipped within 7 - 12 working days

This edited volume presents a unique multidisciplinary perspective on the problem of visual object categorization. The result of a series of four highly successful workshops on the topic, the book gathers many of the most distinguished researchers from both computer and human vision to reflect on their experience, identify open problems, and foster a cross-disciplinary discussion with the idea that parallel problems and solutions have arisen in both domains. Twenty-seven of these workshop speakers have contributed chapters, including fourteen from computer vision and thirteen from human vision. Their contributions range from broad perspectives on the problem to more specific approaches, collectively providing important historical context, identifying the major challenges, and presenting recent research results. This multidisciplinary collection is the first of its kind on the topic of object categorization, providing an outstanding context for graduate students and researchers in both computer and human vision.

Hands-On Unsupervised Learning Using Python - How to Build Applied Machine Learning Solutions from Unlabeled Data (Paperback):... Hands-On Unsupervised Learning Using Python - How to Build Applied Machine Learning Solutions from Unlabeled Data (Paperback)
Ankur A. Patel
R1,263 R811 Discovery Miles 8 110 Save R452 (36%) Shipped within 7 - 12 working days

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks

Real-Time Recursive Hyperspectral Sample and Band Processing - Algorithm Architecture and Implementation (Hardcover, 1st ed.... Real-Time Recursive Hyperspectral Sample and Band Processing - Algorithm Architecture and Implementation (Hardcover, 1st ed. 2017)
Chein-I Chang
R4,025 R3,542 Discovery Miles 35 420 Save R483 (12%) Shipped within 7 - 12 working days

This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kalman filtering in algorithm design so that hyperspectral imagery can be processed not only progressively sample by sample or band by band but also recursively via recursive equations. This book can be considered a companion book of author's books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.

Video Tracking - Theory and Practice (Hardcover, New): Emilio Maggio, Andrea Cavallaro Video Tracking - Theory and Practice (Hardcover, New)
Emilio Maggio, Andrea Cavallaro
R1,935 R1,706 Discovery Miles 17 060 Save R229 (12%) Shipped within 7 - 12 working days

"Video Tracking" provides a comprehensive treatment of the fundamental aspects of algorithm and application development for the task of estimating, over time, the position of objects of interest seen through cameras. Starting from the general problem definition and a review of existing and emerging video tracking applications, the book discusses popular methods, such as those based on correlation and gradient-descent. Using practical examples, the reader is introduced to the advantages and limitations of deterministic approaches, and is then guided toward more advanced video tracking solutions, such as those based on the Bayes' recursive framework and on Random Finite Sets.

Key features: Discusses the design choices and implementation issues required to turn the underlying mathematical models into a real-world effective tracking systems. Provides block diagrams and simil-code implementation of the algorithms. Reviews methods to evaluate the performance of video trackers - this is identified as a major problem by end-users.

The book aims to help researchers and practitioners develop techniques and solutions based on the potential of video tracking applications. The design methodologies discussed throughout the book provide guidelines for developers in the industry working on vision-based applications. The book may also serve as a reference for engineering and computer science graduate students involved in vision, robotics, human-computer interaction, smart environments and virtual reality programmes

Biometrics: A Very Short Introduction (Paperback): Michael Fairhurst Biometrics: A Very Short Introduction (Paperback)
Michael Fairhurst
R182 R144 Discovery Miles 1 440 Save R38 (21%) Shipped within 7 - 12 working days

We live in a society which is increasingly interconnected, in which communication between individuals is mostly mediated via some electronic platform, and transactions are often carried out remotely. In such a world, traditional notions of trust and confidence in the identity of those with whom we are interacting, taken for granted in the past, can be much less reliable. Biometrics - the scientific discipline of identifying individuals by means of the measurement of unique personal attributes - provides a reliable means of establishing or confirming an individual's identity. These attributes include facial appearance, fingerprints, iris patterning, the voice, the way we write, or even the way we walk. The new technologies of biometrics have a wide range of practical applications, from securing mobile phones and laptops to establishing identity in bank transactions, travel documents, and national identity cards. This Very Short Introduction considers the capabilities of biometrics-based identity checking, from first principles to the practicalities of using different types of identification data. Michael Fairhurst looks at the basic techniques in use today, ongoing developments in system design, and emerging technologies, all aimed at improving precision in identification, and providing solutions to an increasingly wide range of practical problems. Considering how they may continue to develop in the future, Fairhurst explores the benefits and limitations of these pervasive and powerful technologies, and how they can effectively support our increasingly interconnected society. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

Learning OpenCV 3 (Paperback): Gary R. Bradski, Adrian Kaehler Learning OpenCV 3 (Paperback)
Gary R. Bradski, Adrian Kaehler
R1,770 R1,021 Discovery Miles 10 210 Save R749 (42%) Shipped within 7 - 12 working days

Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. You'll learn what it takes to build applications that enable computers to "see" and make decisions based on that data. With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you've learned. This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision. Learn OpenCV data types, array types, and array operations Capture and store still and video images with HighGUI Transform images to stretch, shrink, warp, remap, and repair Explore pattern recognition, including face detection Track objects and motion through the visual field Reconstruct 3D images from stereo vision Discover basic and advanced machine learning techniques in OpenCV

Handbook of Computer Vision Algorithms in Image Algebra (Hardcover, 2nd New edition): Joseph N. Wilson, Gerhard X. Ritter Handbook of Computer Vision Algorithms in Image Algebra (Hardcover, 2nd New edition)
Joseph N. Wilson, Gerhard X. Ritter
R3,882 R3,671 Discovery Miles 36 710 Save R211 (5%) Shipped within 7 - 12 working days

Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation of computer vision algorithms.

Updated to reflect recent developments and advances, the second edition continues to provide an outstanding introduction to image algebra. It describes more than 80 fundamental computer vision techniques and introduces the portable iaC++ library, which supports image algebra programming in the C++ language. Revisions to the first edition include a new chapter on geometric manipulation and spatial transformation, several additional algorithms, and the addition of exercises to each chapter.

The authors-both instrumental in the groundbreaking development of image algebra-introduce each technique with a brief discussion of its purpose and methodology, then provide its precise mathematical formulation. In addition to furnishing the simple yet powerful utility of image algebra, the Handbook of Computer Vision Algorithms in Image Algebra supplies the core of knowledge all computer vision practitioners need. It offers a more practical, less esoteric presentation than those found in research publications that will soon earn it a prime location on your reference shelf.

Visual Navigation - From Biological Systems To Unmanned Ground Vehicles (Hardcover): Yiannis Aloimonos Visual Navigation - From Biological Systems To Unmanned Ground Vehicles (Hardcover)
Yiannis Aloimonos
R2,249 Discovery Miles 22 490 Shipped within 7 - 12 working days

All biological systems with vision move about their environments and successfully perform many tasks. The same capabilities are needed in the world of robots. To that end, recent results in empirical fields that study insects and primates, as well as in theoretical and applied disciplines that design robots, have uncovered a number of the principles of navigation. To offer a unifying approach to the situation, this book brings together ideas from zoology, psychology, neurobiology, mathematics, geometry, computer science, and engineering. It contains theoretical developments that will be essential in future research on the topic -- especially new representations of space with less complexity than Euclidean representations possess. These representations allow biological and artificial systems to compute from images in order to successfully deal with their environments.
In this book, the barriers between different disciplines have been smoothed and the workings of vision systems of biological organisms are made clear in computational terms to computer scientists and engineers. At the same time, fundamental principles arising from computational considerations are made clear both to empirical scientists and engineers. Empiricists can generate a number of hypotheses that they could then study through various experiments. Engineers can gain insight for designing robotic systems that perceive aspects of their environment.
For the first time, readers will find:
* the insect vision system presented in a way that can be understood by computational scientists working in computer vision and engineering;
* three complete, working robotic navigation systems presented with all the issues related to their design analyzed in detail;
* the beginning of a computational theory of direct perception, as advocated by Gibson, presented in detail with applications for a variety of problems; and
* the idea that vision systems could compute space representations different from perfect metric descriptions -- and be used in robotic tasks -- advanced for both artificial and biological systems.

Practical Deep Learning for Cloud and Mobile (Paperback): Anirudh Koul, Siddha Ganju, Mehere Kasam Practical Deep Learning for Cloud and Mobile (Paperback)
Anirudh Koul, Siddha Ganju, Mehere Kasam
R1,435 R1,076 Discovery Miles 10 760 Save R359 (25%) Shipped within 7 - 11 working days

Whether you're 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 do I begin? This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite and go from zero to a production-quality system quickly. Develop deep learning applications for the desktop, cloud, smartphones, browser, and Raspberry Pi Learn by building examples such as Silicon Valley's "Not Hotdog," image search engines, and your own mini-autonomous car Use transfer learning to train models in minutes Optimize your apps to run efficiently on different hardware Discover strategies to scale up from a single user to millions Sharpen practical skills for data collection, model interoperability, and model debugging using visualizations Uncover the potential for bias and explore the ethical underpinnings for AI-driven technology

Introduction to Computer Graphics - Using Java 2D and 3D (Paperback, 2nd ed. 2012): Frank Klawonn Introduction to Computer Graphics - Using Java 2D and 3D (Paperback, 2nd ed. 2012)
Frank Klawonn
R615 R570 Discovery Miles 5 700 Save R45 (7%) Shipped within 7 - 12 working days

This book is an essential tool for second-year undergraduate students and above, providing clear and concise explanations of the basic concepts of computer graphics, and enabling the reader to immediately implement these concepts in Java 2D and/or 3D with only elementary knowledge of the programming language. Features: provides an ideal, self-contained introduction to computer graphics, with theory and practice presented in integrated combination; presents a practical guide to basic computer graphics programming using Java 2D and 3D; includes new and expanded content on the integration of text in 3D, particle systems, billboard behaviours, dynamic surfaces, the concept of level of detail, and the use of functions of two variables for surface modelling; contains many pedagogical tools, including numerous easy-to-understand example programs and end-of-chapter exercises; supplies useful supplementary material, including additional exercises, solutions, and program examples, at an associated website.

Cambridge Monographs on Applied and Computational Mathematics, Series Number 32 - Multivariate Approximation (Hardcover): V.... Cambridge Monographs on Applied and Computational Mathematics, Series Number 32 - Multivariate Approximation (Hardcover)
V. Temlyakov
R1,814 R1,687 Discovery Miles 16 870 Save R127 (7%) Shipped within 7 - 12 working days

This self-contained, systematic treatment of multivariate approximation begins with classical linear approximation, and moves on to contemporary nonlinear approximation. It covers substantial new developments in the linear approximation theory of classes with mixed smoothness, and shows how it is directly related to deep problems in other areas of mathematics. For example, numerical integration of these classes is closely related to discrepancy theory and to nonlinear approximation with respect to special redundant dictionaries, and estimates of the entropy numbers of classes with mixed smoothness are closely related to (in some cases equivalent to) the Small Ball Problem from probability theory. The useful background material included in the book makes it accessible to graduate students. Researchers will find that the many open problems in the theory outlined in the book provide helpful directions and guidance for their own research in this exciting and active area.

Fundamentals of Computer Vision (Hardcover): Wesley E. Snyder, Hairong Qi Fundamentals of Computer Vision (Hardcover)
Wesley E. Snyder, Hairong Qi
R2,023 R1,876 Discovery Miles 18 760 Save R147 (7%) Shipped within 7 - 12 working days

Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications.

Computer Vision for Visual Effects (Hardcover, New): Richard J. Radke Computer Vision for Visual Effects (Hardcover, New)
Richard J. Radke
R976 R924 Discovery Miles 9 240 Save R52 (5%) Shipped within 7 - 12 working days

Modern blockbuster movies seamlessly introduce impossible characters and action into real-world settings using digital visual effects. These effects are made possible by research from the field of computer vision, the study of how to automatically understand images. Computer Vision for Visual Effects will educate students, engineers, and researchers about the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and television. The author describes classical computer vision algorithms used on a regular basis in Hollywood (such as blue screen matting, structure from motion, optical flow, and feature tracking) and exciting recent developments that form the basis for future effects (such as natural image matting, multi-image compositing, image retargeting, and view synthesis). He also discusses the technologies behind motion capture and three-dimensional data acquisition. More than 200 original images demonstrating principles, algorithms, and results, along with in-depth interviews with Hollywood visual effects artists, tie the mathematical concepts to real-world filmmaking.

Handbook of Iris Recognition (Hardcover, 2nd ed. 2016): Kevin W. Bowyer, Mark J. Burge Handbook of Iris Recognition (Hardcover, 2nd ed. 2016)
Kevin W. Bowyer, Mark J. Burge
R3,355 R2,958 Discovery Miles 29 580 Save R397 (12%) Shipped within 7 - 12 working days

The definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field. Revised and updated from the highly-successful original, this second edition has also been considerably expanded in scope and content, featuring four completely new chapters. Features: provides authoritative insights from an international selection of preeminent researchers from government, industry, and academia; reviews issues covering the full spectrum of the iris recognition process, from acquisition to encoding; presents surveys of topical areas, and discusses the frontiers of iris research, including cross-wavelength matching, iris template aging, and anti-spoofing; describes open source software for the iris recognition pipeline and datasets of iris images; includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition.

Analog VLSI Circuits for the Perception of Visual Motion (Hardcover): Alan A. Stocker Analog VLSI Circuits for the Perception of Visual Motion (Hardcover)
Alan A. Stocker
R2,447 R2,147 Discovery Miles 21 470 Save R300 (12%) Shipped within 7 - 12 working days

Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes. The analysis of biological neutral systems, especially for visual processing, has allowed angineers to better understand how complex network can effictively process large amounts of information, whilst dealing with difficult computational challenges.

Analog and parallel processing are key characteristics of biological neutral networks. Analog VLSI circuits using the same features can therefore be developed to emulate brain-style processing. Using standard CMOS technology, they can be cheaply manufactured, permitting efficient industrial and consumer applications in robotics and mobile electronics.

This book explores the theory, design and implementation of analog VLSI circuits, inspired by visual motion processing in biological neutral networks. Using a novel approach pioneered by the author himself, Stocker explains in detail the construction of a series of electronic chips, providing the reader with a valuable practical insight into the technology.

Analog VLSI Circuits for the Perception of Visual Motion: analyzes the computational problems in visual motion perception; examines the issue of optimization in analog networks through high level processes such as motion segmentation and selective attention; demonstrates network implementation in anallog VLSI CMOS technology to provide computationally efficient devices; sets out measurements of final hardware implementation; illustrates the similarities of the presented circuitswith the human visual motion perception system; includes an accompanying website with video clips of circuits under real-time visual conditions and additional supplementary material.

With a complete review of all existing neuromorphic analog VLSI systems for visual motion sensing, Analog VLSI Circuits for the Perception of Visual Motion is a unique reference for advanced students in electrical engineering, artificial intelligence, robotics and computational neuroscience. It will also be useful for researcher, professionals, and electronics engineers working in the field.

Computer Vision in Control Systems-1 - Mathematical Theory (Hardcover, 2015 ed.): Margarita N. Favorskaya, Lakhmi C. Jain Computer Vision in Control Systems-1 - Mathematical Theory (Hardcover, 2015 ed.)
Margarita N. Favorskaya, Lakhmi C. Jain
R3,890 R2,919 Discovery Miles 29 190 Save R971 (25%) Shipped within 7 - 12 working days

This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: * Morphological Image Analysis for Computer Vision Applications. * Methods for Detecting of Structural Changes in Computer Vision Systems. * Hierarchical Adaptive KL-based Transform: Algorithms and Applications. * Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores. * A Way of Energy Analysis for Image and Video Sequence Processing. * Optimal Measurement of Visual Motion Across Spatial and Temporal Scales. * Scene Analysis Using Morphological Mathematics and Fuzzy Logic. * Digital Video Stabilization in Static and Dynamic Scenes. * Implementation of Hadamard Matrices for Image Processing. * A Generalized Criterion of Efficiency for Telecommunication Systems. The book is directed to PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.

Computer Vision in Control Systems-2 - Innovations in Practice (Hardcover, 2015 ed.): Margarita N. Favorskaya, Lakhmi C. Jain Computer Vision in Control Systems-2 - Innovations in Practice (Hardcover, 2015 ed.)
Margarita N. Favorskaya, Lakhmi C. Jain
R3,408 R2,660 Discovery Miles 26 600 Save R748 (22%) Shipped within 7 - 12 working days

The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: * Human Action Recognition: Contour-Based and Silhouette-based Approaches. * The Application of Machine Learning Techniques to Real Time Audience Analysis System. * Panorama Construction from Multi-view Cameras in Outdoor Scenes. * A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. * Perception of Audio Visual Information for Mobile Robot Motion Control Systems. * Adaptive Surveillance Algorithms Based on the Situation Analysis. * Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. * Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. * Efficient Denoising Algorithms for Intelligent Recognition Systems. * Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.

Communication Technologies, Information Security and Sustainable Development - Third International Multi-topic Conference,... Communication Technologies, Information Security and Sustainable Development - Third International Multi-topic Conference, IMTIC 2013, Jamshoro, Pakistan, December 18--20, 2013, Revised Selected Papers (Paperback, 2014 ed.)
Faisal Karim Shaikh, Bhawani Shankar Chowdhry, Sherali Zeadally, Dil Muhammad Akbar Hussain, Aftab Ahmed Memon, …
R1,819 R1,458 Discovery Miles 14 580 Save R361 (20%) Shipped within 7 - 12 working days

This book constitutes the thoroughly refereed proceedings of the Third International Multi-topic Conference on Communications, Technologies, Information Security and Sustainable Development, IMTIC 2013, held in Jamshoro, Pakistan, in December 2013. The 27 revised papers presented in this volume were carefully reviewed and selected from 140 submissions. The topics presented had a reasonable balance between theory and practice in multi-disciplined topics including wireless sensor networks, cloud computing, wireless communication, antenna design, signal processing, software engineering, image processing, bioinformatics and telemedicine, neural networks, automation and control, and green renewable energy.

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