Vision Machines

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Publisher : Verso
ISBN 13 : 9781859840795
Total Pages : 208 pages
Book Rating : 4.8/5 (47 download)

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Book Synopsis Vision Machines by : Paul Julian Smith

Download or read book Vision Machines written by Paul Julian Smith and published by Verso. This book was released on 1996-04-17 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade, visibility and sexuality have become a major theme in Spanish and Cuban cinema, literature and art. Vision Machines explores this development in the light of contemporary history and recent theoretical accounts of sight by writers including Paul Virilio, Gianni Vattimo and Teresa de Lauretis. The very visible women of Almodóvar’s cinema are Paul Julian Smith’s first subject. He shows how, in his early Dark Habits, lesbianizes the look, putting women’s pleasure at the centre of the frame, and then examines Almodóvar’s recent film, Kika, where the conflict between cinema and video is played out in the bodies of women: good, bad and ugly. Moving the focus to Cuba, Smith discussed the reception in Europe and North America of Nestor Almendro’s remarkable documentary on gays in Cuba, Improper Conduct, and traces the trial of visibility to which effeminate men were exposed. He compares Amendor’s work with the autobiography of exile novelist Reinaldo Arenas, which revels in graphic sex, and also looks at the first Cuban film with a gay theme, Gutierrez Alea’s Strawberry and Chocolate. Smith returns to Spain to consider the response of artists and intellectuals to the public invisibility of AIDS in a country with one of the highest rates of HIV transmission in the Eurpean Union. Drawing on Anglo-American debates on the representation of AIDS, he concentrates on the one major intervention by Spanish scholars and artists, Love and Rage, and on the only figure in any medium to address AIDS in his aesthetic practice, the conceptual artist and video-maker Pepe Espaliu. He concludes with a fascinating account of Julio Medem’s pathbreaking film from 1993, The Red Squirrel, which has opened up a new approach to two formerly taboo subjects: Basque nationalism and female sexuality.

Peggy Ahwesh: Vision Machines

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Publisher :
ISBN 13 : 9788867494835
Total Pages : 108 pages
Book Rating : 4.4/5 (948 download)

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Book Synopsis Peggy Ahwesh: Vision Machines by : Erika Balsom

Download or read book Peggy Ahwesh: Vision Machines written by Erika Balsom and published by . This book was released on 2022-08-30 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Since the early 1980s, American artist and filmmaker Peggy Ahwesh has forged a distinctive moving image practice in the ruins of originality and authority ... Peggy Ahwesh: Vision Machines explores how she has extended and contested the paradigm of experimental cinema over the last four decades."--Page 4 of cover.

The Vision Machine

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Publisher :
ISBN 13 : 9780851704456
Total Pages : 100 pages
Book Rating : 4.7/5 (44 download)

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Book Synopsis The Vision Machine by : Paul Virilio

Download or read book The Vision Machine written by Paul Virilio and published by . This book was released on 1994 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: No Marketing Blurb

Handbook of Machine Vision

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Publisher : John Wiley & Sons
ISBN 13 : 3527610146
Total Pages : 821 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Handbook of Machine Vision by : Alexander Hornberg

Download or read book Handbook of Machine Vision written by Alexander Hornberg and published by John Wiley & Sons. This book was released on 2007-02-27 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the demands of quality management and process control in an industrial environment machine vision is becoming an important issue. This handbook of machine vision is written by experts from leading companies in this field. It goes through all aspects of image acquisition and image processing. From the viewpoint of the industrial application the authors also elucidate in topics like illumination or camera calibration. Attention is paid to all hardware aspects, starting from lenses and camera systems to camera-computer interfaces. Besides the detailed hardware descriptions the necessary software is discussed with equal profoundness. This includes sections on digital image basics as well as image analysis and image processing. Finally the user is introduced to general aspects of industrial applications of machine vision, such as case studies and strategies for the conception of complete machine vision systems. With this handbook the reader will be enabled not only to understand up to date systems for machine vision but will also be qualified for the planning and evaluation of such technology.

Super-Intelligent Machines

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Publisher : Springer Science & Business Media
ISBN 13 : 1461507596
Total Pages : 221 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Super-Intelligent Machines by : Bill Hibbard

Download or read book Super-Intelligent Machines written by Bill Hibbard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Super-Intelligent Machines combines neuroscience and computer science to analyze future intelligent machines. It describes how they will mimic the learning structures of human brains to serve billions of people via the network, and the superior level of consciousness this will give them. Whereas human learning is reinforced by self-interests, this book describes the selfless and compassionate values that must drive machine learning in order to protect human society. Technology will change life much more in the twenty-first century than it has in the twentieth, and Super-Intelligent Machines explains how that can be an advantage.

Automating Vision

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Author :
Publisher : Routledge
ISBN 13 : 1000061086
Total Pages : 147 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Automating Vision by : Anthony McCosker

Download or read book Automating Vision written by Anthony McCosker and published by Routledge. This book was released on 2020-03-26 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automating Vision explores the rise of seeing machines through four case studies: facial recognition, drone vision, mobile and locative media and driverless cars. Proposing a conceptual lens of camera consciousness, which is drawn from the early visual anthropology of Gregory Bateson and Margaret Mead, Automating Vision accounts for the growing power and value of camera technologies and digital image processing. Behind the smart camera devices examined throughout the book lies a set of increasingly integrated and automated technologies underpinned by artificial intelligence, machine learning and image processing. Seeing machines are now implicated in growing visual data markets and are supported by emerging layers of infrastructure that they coproduce. In this book, Anthony McCosker and Rowan Wilken address the social impacts, the disruptions and reconfigurations to existing digital media ecosystems, to urban environments and to mobility and social relations that result from the increasing automation of vision and explore how it might be possible to ensure a safe and equitable future as we learn to see with and negotiate the interventions of seeing machines. This book will appeal to students and scholars in media, communication, cultural studies, sociology of media and science and technology studies. More resources for the book can be found at https://www.anthonymccosker.com/automating-vision.

Pattern Recognition by Humans and Machines

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Publisher : Elsevier
ISBN 13 : 1483214265
Total Pages : 261 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Pattern Recognition by Humans and Machines by : Eileen C. Schwab

Download or read book Pattern Recognition by Humans and Machines written by Eileen C. Schwab and published by Elsevier. This book was released on 2016-06-03 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern Recognitions by Humans and Machines, Volume 2: Visual Perceptions covers aspects of research on visual perception. The book discusses visual form perception, figure-ground organization, and the spatial and temporal responses of the visual system; eye movements; and visual pattern perception. The text also describes a computer vision model based on psychophysical experiments; perspectives from brain theory and artificial intelligence; and the capacity to extract shape properties and spatial relations among objects and objects' parts. Knowledge-mediated perception is also considered. Psychologists and people involved in the study of visual perceptions will find the book useful.

Advances in Independent Component Analysis and Learning Machines

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Publisher : Academic Press
ISBN 13 : 0128028076
Total Pages : 329 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Advances in Independent Component Analysis and Learning Machines by : Ella Bingham

Download or read book Advances in Independent Component Analysis and Learning Machines written by Ella Bingham and published by Academic Press. This book was released on 2015-05-14 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep learning Machine vision and image retrieval A review of developments in the theory and applications of independent component analysis, and its influence in important areas such as statistical signal processing, pattern recognition and deep learning A diverse set of application fields, ranging from machine vision to science policy data Contributions from leading researchers in the field

Mechatronics: Designing Intelligent Machines Volume 1

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Author :
Publisher : Newnes
ISBN 13 : 1483295516
Total Pages : 336 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Mechatronics: Designing Intelligent Machines Volume 1 by : George Rzevski

Download or read book Mechatronics: Designing Intelligent Machines Volume 1 written by George Rzevski and published by Newnes. This book was released on 2014-06-28 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechatronics is the fusion of mechanics and electronics in the design of intelligent machines. Such machines now play an important role in consumer products, transport systems, manufacturing and the service sector. This book sets out the fundamentals of mechatronics and the engineering concepts and techniques that underpin the subject: planning, search techniques, sensors, actuators, control systems and architectures. This student guide discusses the building blocks of mechatronic systems in terms of the subsystems for perception, cognition and execution, as a framework for designing intelligent machines such as video cameras, robots, and automatic guided vehicles.

Systems, Controls, Embedded Systems, Energy, and Machines

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Publisher : CRC Press
ISBN 13 : 1351836552
Total Pages : 1157 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Systems, Controls, Embedded Systems, Energy, and Machines by : Richard C. Dorf

Download or read book Systems, Controls, Embedded Systems, Energy, and Machines written by Richard C. Dorf and published by CRC Press. This book was released on 2017-12-19 with total page 1157 pages. Available in PDF, EPUB and Kindle. Book excerpt: In two editions spanning more than a decade, The Electrical Engineering Handbook stands as the definitive reference to the multidisciplinary field of electrical engineering. Our knowledge continues to grow, and so does the Handbook. For the third edition, it has expanded into a set of six books carefully focused on a specialized area or field of study. Each book represents a concise yet definitive collection of key concepts, models, and equations in its respective domain, thoughtfully gathered for convenient access. Systems, Controls, Embedded Systems, Energy, and Machines explores in detail the fields of energy devices, machines, and systems as well as control systems. It provides all of the fundamental concepts needed for thorough, in-depth understanding of each area and devotes special attention to the emerging area of embedded systems. Each article includes defining terms, references, and sources of further information. Encompassing the work of the world's foremost experts in their respective specialties, Systems, Controls, Embedded Systems, Energy, and Machines features the latest developments, the broadest scope of coverage, and new material on human-computer interaction.

Machine Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 9780442237370
Total Pages : 222 pages
Book Rating : 4.2/5 (373 download)

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Book Synopsis Machine Vision by : Richard K. Miller

Download or read book Machine Vision written by Richard K. Miller and published by Springer Science & Business Media. This book was released on 1989-08-31 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aimed at manufacturing managers and engineers looking for an introduction to computer vision and its potential, this book discusses the areas in which machine vision is being used, explains different types of machine vision hardware and software and summarizes research at several universities.

Deep Learning for Vision Systems

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Publisher : Manning Publications
ISBN 13 : 1617296198
Total Pages : 478 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Deep Learning for Vision Systems by : Mohamed Elgendy

Download or read book Deep Learning for Vision Systems written by Mohamed Elgendy and published by Manning Publications. This book was released on 2020-11-10 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you’ll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology How much has computer vision advanced? One ride in a Tesla is the only answer you’ll need. Deep learning techniques have led to exciting breakthroughs in facial recognition, interactive simulations, and medical imaging, but nothing beats seeing a car respond to real-world stimuli while speeding down the highway. About the book How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. What's inside Image classification and object detection Advanced deep learning architectures Transfer learning and generative adversarial networks DeepDream and neural style transfer Visual embeddings and image search About the reader For intermediate Python programmers. About the author Mohamed Elgendy is the VP of Engineering at Rakuten. A seasoned AI expert, he has previously built and managed AI products at Amazon and Twilio. Table of Contents PART 1 - DEEP LEARNING FOUNDATION 1 Welcome to computer vision 2 Deep learning and neural networks 3 Convolutional neural networks 4 Structuring DL projects and hyperparameter tuning PART 2 - IMAGE CLASSIFICATION AND DETECTION 5 Advanced CNN architectures 6 Transfer learning 7 Object detection with R-CNN, SSD, and YOLO PART 3 - GENERATIVE MODELS AND VISUAL EMBEDDINGS 8 Generative adversarial networks (GANs) 9 DeepDream and neural style transfer 10 Visual embeddings

Turing's Vision

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Publisher : MIT Press
ISBN 13 : 0262034549
Total Pages : 209 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Turing's Vision by : Chris Bernhardt

Download or read book Turing's Vision written by Chris Bernhardt and published by MIT Press. This book was released on 2016-05-13 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. In Turing's Vision, Chris Bernhardt explains the theory, Turing's most important contribution, for the general reader. Bernhardt argues that the strength of Turing's theory is its simplicity, and that, explained in a straightforward manner, it is eminently understandable by the nonspecialist. As Marvin Minsky writes, "The sheer simplicity of the theory's foundation and extraordinary short path from this foundation to its logical and surprising conclusions give the theory a mathematical beauty that alone guarantees it a permanent place in computer theory." Bernhardt begins with the foundation and systematically builds to the surprising conclusions. He also views Turing's theory in the context of mathematical history, other views of computation (including those of Alonzo Church), Turing's later work, and the birth of the modern computer. In the paper, "On Computable Numbers, with an Application to the Entscheidungsproblem," Turing thinks carefully about how humans perform computation, breaking it down into a sequence of steps, and then constructs theoretical machines capable of performing each step. Turing wanted to show that there were problems that were beyond any computer's ability to solve; in particular, he wanted to find a decision problem that he could prove was undecidable. To explain Turing's ideas, Bernhardt examines three well-known decision problems to explore the concept of undecidability; investigates theoretical computing machines, including Turing machines; explains universal machines; and proves that certain problems are undecidable, including Turing's problem concerning computable numbers.

Sex, machines and navels

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Publisher : Manchester University Press
ISBN 13 : 1526185628
Total Pages : 251 pages
Book Rating : 4.5/5 (261 download)

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Book Synopsis Sex, machines and navels by : Fred Botting

Download or read book Sex, machines and navels written by Fred Botting and published by Manchester University Press. This book was released on 2024-07-30 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Available again in paperback, this study offers a rigorous critical re-reading of fictions of humanity, history, technology and postmodern culture. Taking psychoanalysis into cyberspace, the book develops an innovative theoretical perspective on the relationship between bodies and machines to offer a focused re-examination of notions of desire, metaphor, sexed identity and difference and the process of technological transformation. The book unravels one figure in a detailed, lucid and extensive revision of Lacanian psychoanalysis in association with postmodern theory, feminism and deconstruction. Problematising the easy conjunction of human bodies and inhuman technology, the navel opens into networks of desire, history, culture and machines. Linked to the unconscious, to jokes and dreams, navels appear on the bodies of replicants and in the technological matrix, a strange excess in a future imagined in terms of corporeal ‘meat’ or posthuman machine. Exploring the significance of this omphalic excess, the book closely examines postmodern and cyberpunk texts (by Thomas Pynchon, Graham Swift, Julian Barnes, William Gibson, Rudy Rucker) alongside detailed readings of contemporary cultural critics and theorists.

Machine Vision

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Publisher : Cambridge University Press
ISBN 13 : 1139489925
Total Pages : 452 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Machine Vision by : Wesley E. Snyder

Download or read book Machine Vision written by Wesley E. Snyder and published by Cambridge University Press. This book was released on 2010-11-25 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms. The authors begin with a review of mathematical principles and go on to discuss key issues in image processing such as the description and characterization of images, edge detection, restoration and feature extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern recognition. Important applications are described, including optical character recognition and automatic target recognition. Software and data used in the book can be found at www.cambridge.org/9780521830461. A useful reference for practitioners, the book is aimed at graduate students in electrical engineering, computer science and mathematics.

Intelligent Vision Systems for Industry

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Publisher : Springer Science & Business Media
ISBN 13 : 1447104315
Total Pages : 475 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Intelligent Vision Systems for Industry by : Bruce G. Batchelor

Download or read book Intelligent Vision Systems for Industry written by Bruce G. Batchelor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Vision

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Publisher : Elsevier
ISBN 13 : 1483275612
Total Pages : 572 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Vision by : E. R. Davies

Download or read book Machine Vision written by E. R. Davies and published by Elsevier. This book was released on 2014-07-10 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Vision: Theory, Algorithms, Practicalities covers the limitations, constraints, and tradeoffs of vision algorithms. This book is organized into four parts encompassing 21 chapters that tackle general topics, such as noise suppression, edge detection, principles of illumination, feature recognition, Bayes’ theory, and Hough transforms. Part 1 provides research ideas on imaging and image filtering operations, thresholding techniques, edge detection, and binary shape and boundary pattern analyses. Part 2 deals with the area of intermediate-level vision, the nature of the Hough transform, shape detection, and corner location. Part 3 demonstrates some of the practical applications of the basic work previously covered in the book. This part also discusses some of the principles underlying implementation, including on lighting and hardware systems. Part 4 highlights the limitations and constraints of vision algorithms and their corresponding solutions. This book will prove useful to students with undergraduate course on vision for electronic engineering or computer science.