Foundations Of Computer Vision
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Foundations Of Computer Vision
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Author : Antonio Torralba
language : en
Publisher: MIT Press
Release Date : 2024-04-16
Foundations Of Computer Vision written by Antonio Torralba and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-16 with Computers categories.
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
Theoretical Foundations Of Computer Vision
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Author : Walter Kropatsch
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Theoretical Foundations Of Computer Vision written by Walter Kropatsch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Foundations Of Computer Vision
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Author : James F. Peters
language : en
Publisher: Springer
Release Date : 2017-03-17
Foundations Of Computer Vision written by James F. Peters and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-17 with Technology & Engineering categories.
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.
Deep Learning To See
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Author : Alessandro Betti
language : en
Publisher: Springer Nature
Release Date : 2022-04-26
Deep Learning To See written by Alessandro Betti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Computers categories.
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.
Foundations Of Image Understanding
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Author : Larry S. Davis
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Foundations Of Image Understanding written by Larry S. Davis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Foundations Of Computer Vision Concepts Algorithms And Applications
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Author : Senbagavalli M
language : en
Publisher:
Release Date : 2024-12-18
Foundations Of Computer Vision Concepts Algorithms And Applications written by Senbagavalli M and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.
Computer vision stands as one of the most transformative fields of modern technology, influencing diverse domains such as autonomous vehicles, medical diagnostics, augmented reality, and industrial automation. As machines increasingly gain the ability to interpret and understand visual data, the potential for groundbreaking innovation and profound societal impact grows exponentially. The inspiration for this book, Foundations of Computer Vision: Concepts, Algorithms, and Applications, stemmed from a recognized need for a comprehensive resource that harmonizes theoretical depth with practical insights. While numerous excellent texts explore specialized topics or emphasize algorithms alone, our aim was to bridge this divide offering a resource that elucidates core concepts, simplifies intricate algorithms, and demonstrates their application in solving real-world challenges. This book represents the culmination of years of teaching, research, and collaborative efforts. We extend our heartfelt gratitude to our students and colleagues, whose thought-provoking questions, constructive insights, and invaluable feedback have enriched every aspect of this work. Designed to cater to a diverse audience including undergraduate and graduate students, researchers, and professionals - this book aspires to provide a unified perspective of the field. We hope it equips readers with the foundational knowledge and practical skills necessary to navigate and contribute to the ever-evolving discipline of computer vision. We sincerely thank the Management and Leadership Team at Alliance University, Bangalore, Karnataka, for their encouragement and unwavering support throughout this endeavor. Our deepest gratitude goes to our family members, whose steadfast love and support have been our source of strength and inspiration. This book would not have been possible without them. Above all, we give thanks to Almighty God for His abundant grace, guidance, and ever-present help, which sustained us through the process of compiling and completing Foundations of Computer Vision: Concepts, Algorithms, and Applications.
Theoretical Foundations Of Computer Vision 7 1994 Workshop 14 18 Mar 1994
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Author : R. Klette
language : en
Publisher:
Release Date : 1994
Theoretical Foundations Of Computer Vision 7 1994 Workshop 14 18 Mar 1994 written by R. Klette and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
Computer Vision Systems
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Author : James L. Crowley
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-09
Computer Vision Systems written by James L. Crowley and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-09 with Computers categories.
This book constitutes the refereed proceedings of the 8th International Conference on Computer Vision Systems, ICVS 2011, held in Sophia Antipolis, France, in September 2009. The 22 revised papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on vision systems, control of perception, performance evaluation, activity recognition, and knowledge directed vision.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Mathematical Foundations For Computer Vision Machine Learning And Robotics
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Author :
language : en
Publisher:
Release Date : 2024
Mathematical Foundations For Computer Vision Machine Learning And Robotics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.