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Next Generation Artificial Vision Systems by Anil Anthony Bharath,Maria Petrou Pdf
This interdisciplinary work brings you to the cutting edge of emerging technologies inspired by human sight, ranging from semiconductor photoreceptors based on novel organic polymers and retinomorphic processing circuitry to low-powered devices that replicate spatial and temporal processing in the brain. Moreover, it is the first work of its kind that integrates the full range of physiological, engineering, and mathematical issues and advances together in a single source.
Intelligent Vision Systems for Industry by Bruce G. Batchelor,Paul F. Whelan Pdf
The application of intelligent imaging techniques to industrial vision problems is an evolving aspect of current machine vision research. Machine vision is a relatively new technology, more concerned with systems engineering than with computer science, and with much to offer the manufacturing industry in terms of improving efficiency, safety and product quality. 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. Sections cover the application of AI languages such as Prolog, the use of multi-media interfaces and multi-processor systems, external device control, and colour recognition. The text concludes with a discussion of several case studies that illustrate how intelligent machine vision techniques can be used in industrial applications.
Perceptual Organization for Artificial Vision Systems by Kim L. Boyer,Sudeep Sarkar Pdf
Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was `Assessing the State of the Community and Charting New Research Directions.' Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization. Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.
Cyber-Physical Systems for Next-Generation Networks by Rodrigues, Joel J. P. C.,Gawanmeh, Amjad Pdf
The use of cyber-physical systems in recent computing, communication, and control methods to design and operate intelligent and autonomous systems using cutting-edge technologies has led to many advances. By studying emerging trends in these systems, programming techniques can be optimized and strengthened to create a higher level of effectiveness. Cyber-Physical Systems for Next-Generation Networks provides emerging research on using cyber-physical systems (CPS) as a method to control design and operation of intelligent systems through next-generation networks. While highlighting issues such as increasing CPS complexity due to components within physical and industrial systems, this publication explores information on real-time sensing, reasoning, and adaptation for cyber-physical systems while gaining an understanding of evolutionary computing for it. This book is a valuable resource for engineers, academicians, researchers, and graduate-level students seeking current research on CPS in cutting-edge technologies.
Next Generation Communication Networks for Industrial Internet of Things Systems by Sundresan Perumal,Mujahid Tabassum,Moolchand Sharma,Saju Mohanan Pdf
This book presents Internet of Things (IoT) technology and security-related solutions that employ intelligent data processing technologies and machine learning (ML) approaches for data analytics. It presents practical scenarios from the industry for the application of the internet of things in various domains. Next Generation Communication Networks for Industrial Internet of Things Systems presents concepts and research challenges in communication networking for Industrial internet of things systems. Features: Discusses process monitoring, environmental monitoring, control, and maintenance monitoring. Covers data collection and communication protocols in a comprehensive manner. Highlights the internet of things industrial applications, and industrial revolution 4.0. Presents 5G-enabled internet of things technology and architecture. Showcases artificial intelligence techniques in the IoT networks. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas of electrical engineering, electronics, and communications engineering, computer engineering, and information technology.
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice. New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision. Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples. Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging. The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject. Roy Davies is Emeritus Professor of Machine Vision at Royal Holloway, University of London. He has worked on many aspects of vision, from feature detection to robust, real-time implementations of practical vision tasks. His interests include automated visual inspection, surveillance, vehicle guidance and crime detection. He has published more than 200 papers, and three books - Machine Vision: Theory, Algorithms, Practicalities (1990), Electronics, Noise and Signal Recovery (1993), and Image Processing for the Food Industry (2000); the first of these has been widely used internationally for more than 20 years, and is now out in this much enhanced fourth edition. Roy holds a DSc at the University of London, and has been awarded Distinguished Fellow of the British Machine Vision Association, and Fellow of the International Association of Pattern Recognition.
Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject. See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/ Three new chapters on Machine Learning emphasise the way the subject has been developing; Two chapters cover Basic Classification Concepts and Probabilistic Models; and the The third covers the principles of Deep Learning Networks and shows their impact on computer vision, reflected in a new chapter Face Detection and Recognition. A new chapter on Object Segmentation and Shape Models reflects the methodology of machine learning and gives practical demonstrations of its application. In-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics. Examples and applications—including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians—give the ‘ins and outs’ of developing real-world vision systems, showing the realities of practical implementation. Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples. The ‘recent developments’ sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject. Tailored programming examples—code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)
Biologically Inspired Computer Vision by Gabriel Cristobal,Laurent Perrinet,Matthias S. Keil Pdf
As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.
Artificial Neural Networks – ICANN 2009 by Cesare Alippi,Marios M. Polycarpou,Christos Panayiotou,Georgios Ellinas Pdf
This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.
Digital Image Processing and Analysis by Scott E Umbaugh Pdf
Digital Image Enhancement, Restoration and Compression focuses on human vision-based imaging application development. Examples include making poor images look better, the development of advanced compression algorithms, special effects imaging for motion pictures and the restoration of satellite images distorted by atmospheric disturbance. This book presents a unique engineering approach to the practice of digital imaging, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored. The book includes chapters on imaging systems and software, the human visual system, image transforms, image filtering, image enhancement, image restoration, and image compression. Numerous examples, including over 700 color images, are used to illustrate the concepts discussed. Readers can explore their own application development with any programming language, including C/C++, MATLAB®, Python and R, and software is provided for both the Windows/C/C++ and MATLAB environments. The book can be used by the academic community in teaching and research, with over 1,000 PowerPoint slides and a complete solutions manual to the over 230 included problems. It can also be used for self-study by those involved with application development, whether they are engineers, scientists or artists. The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student develop their skills.
Deep Learning Techniques (Designing Next-Generation Machine Intelligence Algorithms) by Dr. V.S. Manjula Pdf
I am Dr. V. S. Manjula has Completed B.Sc. MCA, M.Phil., B.Ed.(CS), Ph.D. and I have a total 23 years experienced in teaching & administration work and received Ph.D. degree in Computer Science from Bharathiar University in 2013. At present, I am working as a Professor, at the Department of Computer Science, School of Mathematics and Computing in Kampala International University, Kampala, Uganda, East Africa. Previously I worked as an Associate Professor at Wollo University in the Department of Computer Science under the College of Informatics, Kombolcha Institute of Technology, Kombolcha, Ethiopia, and East Africa and I worked as an Associate Professor & HOD in the Department of Computer Science and Engineering & Information Technology in St. Joseph University College of Engineering & Technology, Dar-Es-Salaam in Tanzania, East Africa. I Worked as HOD in the Master of Computer Applications (MCA) Department, at Gurushree Shantivijai Jain College, the Best College in Chennai. I am appointed foreign external examiner evaluating PHD Thesis for various Universities in India & Abroad and a member of the Research Journal of the International Association of Computer Science & Information Technology (IACSIT) & Member of IAENG (International Association of Engineers) – USA Member No: 143718. I am JASIC International Journal Managing Journal Editing Board Member at Kampala International University, Uganda, East Africa. I have published in more than 25 International Journals and National & International Conferences.
Encyclopedia of Deception by Timothy R. Levine Pdf
The Encyclopedia of Deception examines lying from multiple perspectives drawn from the disciplines of social psychology, sociology, history, business, political science, cultural anthropology, moral philosophy, theology, law, family studies, evolutionary biology, philosophy, and more. From the “little white lie,” to lying on a resume, to the grandiose lies of presidents, this two-volume reference explores the phenomenon of lying in a multidisciplinary context to elucidate this common aspect of our daily lives. Not only a cultural phenomenon historically, lying is a frequent occurrence in our everyday lives. Research shows that we are likely to lie or intentionally deceive others several times a day or in one out of every four conversations that lasts more than 10 minutes. Key Features: More than 360 authored by key figures in the field are organized A-to-Z in two volumes, which are available in both print and electronic formats. Entries are written in a clear and accessible style that invites readers to explore and reflect on the use of lying and self-deception. Each article concludes with cross references to related entries and further readings. This academic, multi-author reference work will serve as a general, non-technical resource for students and researchers within social and behavioral science programs who seek to better understand the historical role of lying and how it is employed in modern society.
Outsmarting AI by Brennan Pursell,Joshua Walker Pdf
From factories to smartphones, Artificial Intelligence is already taking over. Outsmarting AI is not a how-to guide on making AI work, but making it work for YOU to boost profits and productivity. Each development in Artificial Intelligence (AI) technology brings about apprehension and panic for the future of society and for business. We’re bombarded with stories about the impending human-less workplace; it is no longer a question if man can be replaced by machine in certain tasks, but when. However, AI was not manufactured to destroy life as we know it. These emerging technologies were developed and are constantly updating with a particular goal in mind: optimization. AI feeds on data and information to improve outputs and increase potential. With this enhanced productivity, profit and productivity will be sure to follow. Written by Brennan Pursell, a business consultant and professor who hates jargon, and Joshua Walker, an AI pioneer with 18 years of experience in solutions and applications, Outsmarting AI is the first plain-English how-to guide on adapting AI for the non-coding proficient business leader. This book will help readers to Cut through the fog of AI hype See exactly what AI can actually do for people in business Identify the areas of their organization in most need of AI tools Prepare and control their data – AI is useless without it Adopt AI and develop the right culture to support it Track the productivity boost, cost savings, and increased profits Manage and minimize the threat of crippling lawsuits
Depth Map and 3D Imaging Applications: Algorithms and Technologies by Malik, Aamir Saeed Pdf
Over the last decade, significant progress has been made in 3D imaging research. As a result, 3D imaging methods and techniques are being employed for various applications, including 3D television, intelligent robotics, medical imaging, and stereovision. Depth Map and 3D Imaging Applications: Algorithms and Technologies present various 3D algorithms developed in the recent years and to investigate the application of 3D methods in various domains. Containing five sections, this book offers perspectives on 3D imaging algorithms, 3D shape recovery, stereoscopic vision and autostereoscopic vision, 3D vision for robotic applications, and 3D imaging applications. This book is an important resource for professionals, scientists, researchers, academics, and software engineers in image/video processing and computer vision.
Image-guided Therapy Systems by Shahram Vaezy,Vesna Zderic Pdf
This title provides a global survey of the rapidly growing field of image-guided therapy. You find detailed coverage of a wide range of key topics, from MRI-guided surgery, robotic cardiac surgery, and brachytherapy and hyperthermia for cancer treatment ... to modern procedures in neurosurgery, laser cosmetic therapy, and ultrasound-guided high intensity focused ultrasound therapy for non-invasive tumor treatment. You learn the fundamentals of imaging and therapeutic modalities and their capabilities and constraints in implementation of image-guided therapy systems.