Computer Vision

This monograph is devoted to the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. The conventional robot navigation systems, utilizing tr

Mathematical algorithms are a fundamental component of Computer Aided Design and Manufacturing (CAD/CAM) systems. This book provides a bridge between algebraic geometry and geometric modelling algorit

Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library.Computer vision is key to technologies like object recogniti

Color Theory and Modeling for Computer Graphics, Visualization, and Multimedia Applications deals with color vision and visual computing. This book provides an overview of the human visual system w

Current scientific knowledge about machine vision is examined by and for professionals from such fields as computer science, engineering, psychology, neuroscience, and biology. They cover the areas of

The two volumes LNCS 6553 and 6554 constitute the refereed post-proceedings of 7 workshops held in conjunction with the 11th European Conference on Computer Vision, held in Heraklion, Crete, Greece in

The two volumes LNCS 6553 and 6554 constitute the refereed post-proceedings of 7 workshops held in conjunction with the 11th European Conference on Computer Vision, held in Heraklion, Crete, Greece in

This monograph is devoted to the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. The conventional robot navigation systems, utilizing tr

Recent research results in the area of parallel algorithms for problem solving, search, natural language parsing, and computer vision, are brought together in this book. The research reported demonstr

An understanding of the senses - vision, hearing, touch, chemical and other non-human senses - is important not only for many fields of biology but also in applied areas such as human-computer interaction, robotics and computer games. Using information theory as a unifying framework, this is a wide-ranging survey of sensory systems, covering all known senses. The book draws on three unifying principles to examine senses: the Nyquist sampling theorem, Shannon's information theory, and the creation of different streams of information to subserve different tasks. This framework is used to discuss the fascinating role of sensory adaptation in the context of environment and lifestyle. Providing a fundamental grounding in sensory perception, the book then demonstrates how this knowledge can be applied to the design of human-computer interfaces and virtual environments. It is an ideal resource for both graduate and undergraduate students of biology, engineering (robotics) and computer science

Here is, for the first time, a book that clearly explains and applies new level set methods to problems and applications in computer vision, graphics, and imaging. It is an essential compilation of su

Topics and FeaturesProvides a thorough discussion of several tasks for image processing, pattern recognition, computer vision, robotics and computer graphics using the geometric algebra frameworkIntr

At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling. After recalling the physic

Assembled in this volume is a collection of some of the state-of-the-art methods that are using computer vision and machine learning techniques as applied in robotic applications. Currently there is a

The book is intended for advanced students in physics, mathematics, computer science, electrical engineering, robotics, engine engineering and for specialists in computer vision and robotics on the te

Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermo

Here is, for the first time, a book that clearly explains and applies new level set methods to problems and applications in computer vision, graphics, and imaging. It is an essential compilat

Front-End Vision and Multi-Scale Image Analysis is a tutorial in multi-scale methods for computer vision and image processing. It builds on the cross fertilization between human visual perception and

This book begins with a promise: people with severe vision loss can be trained and equipped to function as sighted. The author, himself legally blind for 30 years, fulfills that promise with precise information and guidance on improving life through visual rehabilitation. The book explains fundamental facts about eyes and vision, including the causes and varieties of blindness, and then moves on to the new skills the partially sighted person must learn. Specific approaches and devices are covered in depth, including “eccentric viewing” and driving with telescopic glasses, and the visual and electronic aids that can help overcome the effects of vision loss. In spite of his own limited vision (20/240), Dr. Chapman uses a computer without a voice synthesizer, watches TV, and even drives, and he shows readers how to do the same.

Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics an

International biologists, chemists, computer scientists, mathematicians, physicists, and psychologists contribute to a 20 paper survey of the diverse mechanisms and models governing pattern formation

This 1997 book examines recent changes in the design of intelligent machines. New computer models of vision and navigation in animals suggest a different way to build machines. Cognition is viewed not just in terms of high-level 'expertise,' but in the ability to find one's way around the world, to learn new ways of seeing things, and to coordinate activity. This approach is called situated cognition. Situated Cognition differs from other purely philosophical treatises in that Clancey, an insider who has built expert systems for twenty years, explores the limitations of existing computer programs and compares them to human memory and learning capabilities. Clancey examines the implications of 'situated action' from the perspective of artificial intelligence specialists interested in building robots.

This 1997 book examines recent changes in the design of intelligent machines. New computer models of vision and navigation in animals suggest a different way to build machines. Cognition is viewed not just in terms of high-level 'expertise,' but in the ability to find one's way around the world, to learn new ways of seeing things, and to coordinate activity. This approach is called situated cognition. Situated Cognition differs from other purely philosophical treatises in that Clancey, an insider who has built expert systems for twenty years, explores the limitations of existing computer programs and compares them to human memory and learning capabilities. Clancey examines the implications of 'situated action' from the perspective of artificial intelligence specialists interested in building robots.

In his classsic book, Mindstorms: Children, Computers, and powerful Ideas, Seymour Papert set out a vision of how computers could change school. In The Children’s Machine he now looks back over a deca

What is the mind? How does it work? How does it influence behavior? Some psychologists hope to answer such questions in terms of concepts drawn from computer science and artificial intelligence. They test their theories by modeling mental processes in computers. This book shows how computer models are used to study many psychological phenomena - including vision, language, reasoning, and learning. It also shows that computer modeling involves differing theoretical approaches. Computational psychologists disagree about some basic questions. For instance, should the mind be modeled by digital computers, or by parallel-processing systems more like brains? Do computer programs consist of meaningless patterns, or do they embody (and explain) genuine meaning?

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical

The book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision

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 grou

This monograph presents the challenges, vision and context to design smart learning objects (SLOs) through Computer Science (CS) education modelling and feature model transformations. It presents the

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in Sept

Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing with an emphasis on those aspects most used in computer graph

In this book, the author presents a new vision of learning through design and production, and describes computer programming as a source of a learning and design power. As means of studying this exten

THE INSTANT NEW YORK TIMES BESTSELLER'A compelling vision of where the internet should go and how to get there.' Sam Altman, CEO, OpenAI_A potent exploration of the power of blockchains to reshape the future of the internet - and how that affects us all - from technology entrepreneur and startup investor Chris Dixon.The internet of today is a far cry from its early promise of a decentralized, democratic network of innovation, connection and freedom. In the past decade, it has fallen almost entirely under the control of a very small group of companies like Apple, Google, and Facebook.In Read Write Own, tech visionary Chris Dixon argues that the dream of a creative, entrepreneurial internet doesn't have to die and can, in fact, be saved with blockchain networks. He separates this movement, which aims to provide a solid foundation for everything from social networks to artificial intelligence to virtual worlds, from cryptocurrency speculation - a distinction he calls 'the computer vs the

THE INSTANT NEW YORK TIMES BESTSELLER‘A compelling vision of where the internet should go and how to get there.’ Sam Altman, CEO, OpenAI_A potent exploration of the power of blockchains to reshape the future of the internet – and how that affects us all – from technology entrepreneur and startup investor Chris Dixon. The internet of today is a far cry from its early promise of a decentralized, democratic network of innovation, connection and freedom. In the past decade, it has fallen almost entirely under the control of a very small group of companies like Apple, Google, and Facebook.In Read Write Own, tech visionary Chris Dixon argues that the dream of a creative, entrepreneurial internet doesn’t have to die and can, in fact, be saved with blockchain networks. He separates this movement, which aims to provide a solid foundation for everything from social networks to artificial intelligence to virtual worlds, from cryptocurrency speculation – a distinction he calls ‘the computer vs the

Our world and the people within it are increasingly interpreted and classified by automated systems. At the same time, automated classifications influence what happens in the physical world. These entanglements change what it means to interact with governance, and shift what elements of our identity are knowable and meaningful. In this cyber-physical world, or 'world state', what is the role for law? Specifically, how should law address the claim that computational systems know us better than we know ourselves? Monitoring Laws traces the history of government profiling from the invention of photography through to emerging applications of computer vision for personality and behavioral analysis. It asks what dimensions of profiling have provoked legal intervention in the past, and what is different about contemporary profiling that requires updating our legal tools. This work should be read by anyone interested in how computation is changing society and governance, and what it is about p

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional str

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

本書是美國倫斯勒理工學院（Rensselaer Polytechnic Institute, RPI）紀強（Qiang Ji）教授專門為概率圖模型編寫的一本專著。本書介紹了計算機視覺中的概率圖模型（PGM），討論了PGM及其在解決計算機視覺中存在的問題，提供了基本概念、定義和屬性。專注於PGM的理論，以偽代碼和推導的方式對PGM進行了詳細的解釋。

人工智能正在成為全世界產業變革的方向，處於第四次科技革命的核心地位。計算機視覺（Computer Vision）就是利用攝像機、算法和計算資源為人工智能系統按上“眼睛”，讓其可以擁有人類的雙眼所具有的前景與背景分割、物體識別、目標跟蹤、判斷決策等功能。計算機視覺系統可以讓計算機看見並理解這個世界的“信息”，從而替代人類完成重復性工作。目前計算機視覺領域熱門的研究方向有物體檢測與識別、語義分割、目標跟蹤等。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》圍繞著計算機視覺的關鍵技術，介紹基於深度學習計算機視覺的基礎理論及主要算法。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》結合常見的應用場景和項目實例，循序漸進地帶領讀者進入美妙的計算機視覺世界。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》共分為11章，第1章為人工智能概述；第2～5章介紹計算機視覺的幾種關鍵技術，即圖像分類、目標檢測、圖像分割和目標跟蹤，並將這四項關鍵技術組合完成人工智能的實際應用；第6、7章介紹人工智能的兩個典型應用：文字檢測與識別系統及多任務深度學習系統；第8章介紹一種非常有意思的深度學習網絡——對抗生成神經網絡；第9章介紹製作訓練和測試樣本的方法；第10章介紹如何安裝TensorFlow、KerasAPI及相關介紹；第11章介紹綜合實驗。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》提供了大量項目實例及代碼解析，均是基於Python語言及TensorFlow、KerasAPI的。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》的每章均配有微課視頻，掃描書中的二維碼，可觀看作者的視頻講解。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》不僅可以作為大學計算機及相關專業的教材，也適合自學者及人工智能開發人員參考使用。《計算機視覺：Python+TensorFl

Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established methods from the basic to advanced settings; Part 3 presents the most typical applications including natural language processing, computer vision, data mining, biochemistry and healthcare; and Part 4 describes advances of methods and applications that tend to be important and promising for future research. The book is self-contained, making it accessible to a broader range of readers including (1) senior undergraduate and graduate students; (2) practitioners and project managers who want to adopt graph neural networks into their products and platforms; and (3) researchers without a computer science background who want to use graph neural networks to advance their disciplines.