Foundations Of Computer Vision

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Foundations of Computer Vision

Author : Antonio Torralba
Publisher : MIT Press
ISBN 13 : 0262048973
Total Pages : 981 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Foundations of Computer Vision by : Antonio Torralba

Download or read book Foundations of Computer Vision written by Antonio Torralba and published by MIT Press. This book was released on 2024-04-16 with total page 981 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision. Up-to-date treatment integrates classic computer vision and deep learning Accessible approach emphasizes fundamentals and assumes little background knowledge Student-friendly presentation features extensive examples and images Proven in the classroom Instructor resources include slides, solutions, and source code

Foundations of Computer Vision

Author : James F. Peters
Publisher : Springer
ISBN 13 : 3319524836
Total Pages : 431 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Foundations of Computer Vision by : James F. Peters

Download or read book Foundations of Computer Vision written by James F. Peters and published by Springer. This book was released on 2017-03-17 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.

Theoretical Foundations of Computer Vision

Author : Walter Kropatsch
Publisher : Springer Science & Business Media
ISBN 13 : 3709165865
Total Pages : 260 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Theoretical Foundations of Computer Vision by : Walter Kropatsch

Download or read book Theoretical Foundations of Computer Vision written by Walter Kropatsch and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision is a rapidly growing field of research investigating computational and algorithmic issues associated with image acquisition, processing, and understanding. It serves tasks like manipulation, recognition, mobility, and communication in diverse application areas such as manufacturing, robotics, medicine, security and virtual reality. This volume contains a selection of papers devoted to theoretical foundations of computer vision covering a broad range of fields, e.g. motion analysis, discrete geometry, computational aspects of vision processes, models, morphology, invariance, image compression, 3D reconstruction of shape. Several issues have been identified to be of essential interest to the community: non-linear operators; the transition between continuous to discrete representations; a new calculus of non-orthogonal partially dependent systems.

Deep Learning to See

Author : Alessandro Betti
Publisher : Springer Nature
ISBN 13 : 3030909875
Total Pages : 116 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Deep Learning to See by : Alessandro Betti

Download or read book Deep Learning to See written by Alessandro Betti and published by Springer Nature. This book was released on 2022-04-26 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature. This work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated by novel challenges resonating with the foundations of machine learning. The central thesis proposed is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal. Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. As such, it will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines.

Theoretical Foundations of Computer Vision

Author : R. Klette
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (475 download)

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Book Synopsis Theoretical Foundations of Computer Vision by : R. Klette

Download or read book Theoretical Foundations of Computer Vision written by R. Klette and published by . This book was released on 1994 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Theoretical foundations of computer vision

Author :
Publisher :
ISBN 13 :
Total Pages : 23 pages
Book Rating : 4.:/5 (633 download)

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Book Synopsis Theoretical foundations of computer vision by :

Download or read book Theoretical foundations of computer vision written by and published by . This book was released on 1996 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Smart Computer Vision

Author : B. Vinoth Kumar
Publisher : Springer Nature
ISBN 13 : 3031205413
Total Pages : 359 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Smart Computer Vision by : B. Vinoth Kumar

Download or read book Smart Computer Vision written by B. Vinoth Kumar and published by Springer Nature. This book was released on 2023-02-27 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses and disseminates research and development in the applications of intelligent techniques for computer vision, the field that works on enabling computers to see, identify, and process images in the same way that human vision does, and then providing appropriate output. The book provides contributions which include theory, case studies, and intelligent techniques pertaining to computer vision applications. The book helps readers grasp the essence of the recent advances in this complex field. The audience includes researchers, professionals, practitioners, and students from academia and industry who work in this interdisciplinary field. The authors aim to inspire future research both from theoretical and practical viewpoints to spur further advances in the field.

Hands-On Computer Vision

Author : Marc Pomplun
Publisher : World Scientific Publishing Company Incorporated
ISBN 13 : 9789814571975
Total Pages : 650 pages
Book Rating : 4.5/5 (719 download)

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Book Synopsis Hands-On Computer Vision by : Marc Pomplun

Download or read book Hands-On Computer Vision written by Marc Pomplun and published by World Scientific Publishing Company Incorporated. This book was released on 2020-06-15 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides its readers the fundamental concepts in computer vision and how to design and implement vision algorithms for given problems. No prior knowledge of computer vision is required, but readers are expected to have experience in computer programming. Commented sample code in the C language and a variety of programming exercises in this book will assist the readers in developing an in-depth understanding of computer vision algorithms and their implementations. All major computer vision topics such as image preprocessing, edge detection, image segmentation, shape representation, texture, object recognition, image understanding, stereo vision, and motion are covered, together with their mathematical foundations and biological counterparts. By additionally providing hands-on experience on building computer vision systems from the ground up, this book will equip the readers with the skills necessary for developing professional vision solutions or conducting computer vision research in graduate schools.

The Birth of Computer Vision

Author : James E. Dobson
Publisher : U of Minnesota Press
ISBN 13 : 145296887X
Total Pages : 240 pages
Book Rating : 4.4/5 (529 download)

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Book Synopsis The Birth of Computer Vision by : James E. Dobson

Download or read book The Birth of Computer Vision written by James E. Dobson and published by U of Minnesota Press. This book was released on 2023-04-04 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revealing genealogy of image-recognition techniques and technologies Today’s most advanced neural networks and sophisticated image-analysis methods come from 1950s and ’60s Cold War culture—and many biases and ways of understanding the world from that era persist along with them. Aerial surveillance and reconnaissance shaped all of the technologies that we now refer to as computer vision, including facial recognition. The Birth of Computer Vision uncovers these histories and finds connections between the algorithms, people, and politics at the core of automating perception today. James E. Dobson reveals how new forms of computerized surveillance systems, high-tech policing, and automated decision-making systems have become entangled, functioning together as a new technological apparatus of social control. Tracing the development of a series of important computer-vision algorithms, he uncovers the ideas, worrisome military origins, and lingering goals reproduced within the code and the products based on it, examining how they became linked to one another and repurposed for domestic and commercial uses. Dobson includes analysis of the Shakey Project, which produced the first semi-autonomous robot, and the impact of student protest in the early 1970s at Stanford University, as well as recovering the computer vision–related aspects of Frank Rosenblatt’s Perceptron as the crucial link between machine learning and computer vision. Motivated by the ongoing use of these major algorithms and methods, The Birth of Computer Vision chronicles the foundations of computer vision and artificial intelligence, its major transformations, and the questionable legacy of its origins. Cover alt text: Two overlapping circles in cream and violet, with black background. Top is a printed circuit with camera eye; below a person at a 1977 computer.

Fundamentals in Computer Vision

Author : O. D. Faugeras
Publisher : CUP Archive
ISBN 13 : 9780521250993
Total Pages : 520 pages
Book Rating : 4.2/5 (59 download)

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Book Synopsis Fundamentals in Computer Vision by : O. D. Faugeras

Download or read book Fundamentals in Computer Vision written by O. D. Faugeras and published by CUP Archive. This book was released on 1983-07-28 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biologically Inspired Computer Vision

Author : Gabriel Cristobal
Publisher : John Wiley & Sons
ISBN 13 : 3527680497
Total Pages : 480 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Biologically Inspired Computer Vision by : Gabriel Cristobal

Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-08-31 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Foundations of Image Understanding

Author : Larry S. Davis
Publisher : Springer Science & Business Media
ISBN 13 : 1461515297
Total Pages : 496 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Foundations of Image Understanding by : Larry S. Davis

Download or read book Foundations of Image Understanding written by Larry S. Davis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer systems that analyze images are critical to a wide variety of applications such as visual inspections systems for various manufacturing processes, remote sensing of the environment from space-borne imaging platforms, and automatic diagnosis from X-rays and other medical imaging sources. Professor Azriel Rosenfeld, the founder of the field of digital image analysis, made fundamental contributions to a wide variety of problems in image processing, pattern recognition and computer vision. Professor Rosenfeld's previous students, postdoctoral scientists, and colleagues illustrate in Foundations of Image Understanding how current research has been influenced by his work as the leading researcher in the area of image analysis for over two decades. Each chapter of Foundations of Image Understanding is written by one of the world's leading experts in his area of specialization, examining digital geometry and topology (early research which laid the foundations for many industrial machine vision systems), edge detection and segmentation (fundamental to systems that analyze complex images of our three-dimensional world), multi-resolution and variable resolution representations for images and maps, parallel algorithms and systems for image analysis, and the importance of human psychophysical studies of vision to the design of computer vision systems. Professor Rosenfeld's chapter briefly discusses topics not covered in the contributed chapters, providing a personal, historical perspective on the development of the field of image understanding. Foundations of Image Understanding is an excellent source of basic material for both graduate students entering the field and established researchers who require a compact source for many of the foundational topics in image analysis.

Multi-Image Analysis

Author : Reinhard Klette
Publisher : Springer
ISBN 13 : 354045134X
Total Pages : 296 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Multi-Image Analysis by : Reinhard Klette

Download or read book Multi-Image Analysis written by Reinhard Klette and published by Springer. This book was released on 2003-06-29 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision, held at Dagstuhl Castle, Germany, in March 2000. The 20 revised full papers presented have been through two rounds of reviewing, selection, and revision and give a representative assessment of the foundational issues in multiple-image processing. The papers are organized in topical sections on 3D data acquisition and sensor design, multi-image analysis, data fusion in 3D scene description, and applied 3D vision and virtual reality.

Multi-Image Analysis

Author : Reinhard Klette
Publisher : Springer
ISBN 13 : 9783540421221
Total Pages : 296 pages
Book Rating : 4.4/5 (212 download)

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Book Synopsis Multi-Image Analysis by : Reinhard Klette

Download or read book Multi-Image Analysis written by Reinhard Klette and published by Springer. This book was released on 2001-05-02 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision, held at Dagstuhl Castle, Germany, in March 2000. The 20 revised full papers presented have been through two rounds of reviewing, selection, and revision and give a representative assessment of the foundational issues in multiple-image processing. The papers are organized in topical sections on 3D data acquisition and sensor design, multi-image analysis, data fusion in 3D scene description, and applied 3D vision and virtual reality.

Fundamentals of Computer Vision

Author : Wesley E. Snyder
Publisher : Cambridge University Press
ISBN 13 : 1107184886
Total Pages : 395 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Fundamentals of Computer Vision by : Wesley E. Snyder

Download or read book Fundamentals of Computer Vision written by Wesley E. Snyder and published by Cambridge University Press. This book was released on 2017-09-28 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book equips students with crucial mathematical and algorithmic tools to understand complete computer vision systems.

Fundamentals of Computer Vision

Author : Wesley E. Snyder
Publisher : Cambridge University Press
ISBN 13 : 1316885828
Total Pages : 395 pages
Book Rating : 4.3/5 (168 download)

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Book Synopsis Fundamentals of Computer Vision by : Wesley E. Snyder

Download or read book Fundamentals of Computer Vision written by Wesley E. Snyder and published by Cambridge University Press. This book was released on 2017-09-28 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Color in Computer Vision

Author : Theo Gevers
Publisher : John Wiley & Sons
ISBN 13 : 9780470890844
Total Pages : 0 pages
Book Rating : 4.8/5 (98 download)

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Book Synopsis Color in Computer Vision by : Theo Gevers

Download or read book Color in Computer Vision written by Theo Gevers and published by John Wiley & Sons. This book was released on 2012-09-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.