New York: Heaven for Books, 2001. — 561 p. Pattern Classification, more often called Pattern Recognition, is the primary bottleneck in the task of automation. Robots without sensors have their uses, but they are limited and dangerous. In fact one might plausibly argue that a robot without sensors isn't a realrobot at all, whatever the hardware manufacturers may say.
2nd Edition. — Apress, 2023. — 526 p. — eBook ISBN: 978-1-4842-9866-4. Covers developing AI-enabled computer vision applications, computer vision techniques, and best practices Gives line-by-line explanations of working code examples Explains training neural networks involving large numbers of images on cloud infrastructure Computer vision is constantly evolving, and this book...
2nd Edition. — Apress Media LLC., 2023. — 541 p. — ISBN-13: 978-1-4842-9866-4. Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition’s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices,...
2nd Edition. — Apress Media LLC., 2023. — 541 p. — ISBN-13: 978-1-4842-9866-4. Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition’s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices,...
2nd Edition. — Apress Media LLC., 2023. — 541 p. — ISBN-13: 978-1-4842-9865-7. Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition’s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices,...
Apress, 2020. — 467 p. — ISBN13: 978-1-4842-5886-6. Apply computer vision and machine learning concepts in developing business and industrial applications ?using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code examples. Section...
Apress, 2020. — 467 p. — ISBN13: (electronic): 978-1-4842-5887-3. Apply computer vision and machine learning concepts in developing business and industrial applications ?using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code...
Apress, 2020. — 467 p. — ISBN13: (electronic): 978-1-4842-5887-3. Apply computer vision and machine learning concepts in developing business and industrial applications ?using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code...
Apress, 2020. — 467 p. — ISBN13: (electronic): 978-1-4842-5887-3. Apply computer vision and machine learning concepts in developing business and industrial applications ?using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code...
Academic Press, 2020. — 360 p. — ISBN: 978-0-12-816425-9. OpenVX is the computer vision API adopted by many high-performance processor vendors. It is quickly becoming the preferred way to write fast and power-efficient code on embedded systems. This book presents definitive information on OpenVX 1.2 and 1.3, the Neural Network, and other extensions as well as the OpenVX Safety...
Independently Published, 2019. — 563 p. Deep learning methods can achieve state-of-the-art results on challenging computer vision problems such as image classification, object detection, and face recognition. In this new Ebook written in the friendly Machine Learning Mastery style that you’re used to, skip the math and jump straight to getting results. With clear explanations,...
Packt Publishing, 2018. — 234 p. — ISBN: 978-1788297684. A practical guide designed to get you from basics to current state of art in computer vision systems. Key Features Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing,...
Packt Publishing, 2018. — 234 p. — ISBN: 978-1788297684. A practical guide designed to get you from basics to current state of art in computer vision systems. Key Features Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing,...
Packt Publishing, 2018. — 234 p. — ISBN: 978-1788297684. Only CODE files! A practical guide designed to get you from basics to current state of art in computer vision systems. Key Features Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform...
Apress, 2018. — 90 p. Dive headfirst into Microsoft’s Computer Vision APIs through sample-driven scenarios! Imagine an app that describes to the visually impaired the objects around them, or reads the Sunday paper, a favorite magazine, or a street sign. Or an app that is capable of monitoring what is happening inside an area without human control, and then makes a decision based...
Apress, 2018. — 90 p. Dive headfirst into Microsoft’s Computer Vision APIs through sample-driven scenarios! Imagine an app that describes to the visually impaired the objects around them, or reads the Sunday paper, a favorite magazine, or a street sign. Or an app that is capable of monitoring what is happening inside an area without human control, and then makes a decision based...
O’Reilly Media, 2012. — 200 p. Early release revision 1. Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You'll then...
1st Edition. — O’Reilly Media, 2012 (August 9, 2012). — 254 p. — ISBN10: 1449320368, ISBN13: 978-1449320362. На англ. языке. Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for...
1st Edition. — O’Reilly Media, 2012 (August 9, 2012). — 254 p. — ISBN10: 1449320368, ISBN13: 978-1449320362. На англ. языке. Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for...
Independently Published, 2020. One of the most powerful and compelling types of AI is computer vision which you've almost surely experienced in any number of ways without even knowing. Here's a look at what it is, how it works, and why it's so awesome (and is only going to get better). Computer vision is the field of computer science that focuses on replicating parts of the...
Springer, 2023. — 391 p. — (Advances in Computer Vision and Pattern Recognition). — ISBN 978-981-99-4286-2. Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity...
Springer, 2023. — 391 p. — (Advances in Computer Vision and Pattern Recognition). — ISBN 978-981-99-4287-9. Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity...
Apress, 2019. — 405 p. Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial...
Apress, 2019. — 405 p. — ISBN: 978-1-4842-4167-7. Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the...
Apress, 2019. — 421 p. — ISBN13: 978-1-4842-4166-0. Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the...
Apress, 2019. — 421 p. — ISBN13: 978-1-4842-4166-0. Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the...
Apress, 2019. — 421 p. — ISBN13: 978-1-4842-4166-0. Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the...
2nd Edition. — Wiley, 2017. — 860 р. — ISBN: 9783527413393. The second edition of this accepted reference work has been updated to reflect the rapid developments in the field and now covers both 2D and 3D imaging. Written by expert practitioners from leading companies operating in machine vision, this one-stop handbook guides readers through all aspects of image acquisition and...
Neural Networks. - 2000. - June. - Volume 13. - Issues 4 - 5. - Pp. 411 - 430. A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons of computational and conceptual simplicity, the representation is often sought as a linear transformation of the original...
Independently published, 2024. — 117 р. "Python for Computer Vision" is a comprehensive guide that equips you with the knowledge and skills needed to excel in the field of computer vision. This book takes you on a journey through the essential concepts of image processing, object detection, and machine learning, all using the power and versatility of Python. Whether you're a...
Independently published, 2024. — 117 р. "Python for Computer Vision" is a comprehensive guide that equips you with the knowledge and skills needed to excel in the field of computer vision. This book takes you on a journey through the essential concepts of image processing, object detection, and machine learning, all using the power and versatility of Python. Whether you're a...
Independently published, 2024. — 117 р. "Python for Computer Vision" is a comprehensive guide that equips you with the knowledge and skills needed to excel in the field of computer vision. This book takes you on a journey through the essential concepts of image processing, object detection, and machine learning, all using the power and versatility of Python. Whether you're a...
Independently published, 2024. — 117 р. "Python for Computer Vision" is a comprehensive guide that equips you with the knowledge and skills needed to excel in the field of computer vision. This book takes you on a journey through the essential concepts of image processing, object detection, and machine learning, all using the power and versatility of Python. Whether you're a...
Apress, 2020. - 247p. - ISBN: 9781484268209 Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security. You’ll learn the differences between supervised and...
Apress, 2020. - 247p. - ISBN: 9781484268209 Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security. You’ll learn the differences between supervised and...
Packt, 2023. — 401 p. Computer vision (CV) is a field of artificial intelligence that helps transform visual data into actionable insights to solve a wide range of business challenges. This book provides prescriptive guidance to anyone looking to learn how to approach CV problems for quickly building and deploying production-ready models. You'll begin by exploring the...
Informatica. - 2011. - № 35. - Pp. 63–81. Independent Component Analysis (ICA), a computationally efficient blind source separation technique, has been an area of interest for researchers for many practical applications in various fields of science and engineering. This paper attempts to cover the fundamental concepts involved in ICA techniques and review its applications. A...
John Wiley, 2011. — 506 p. Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image...
Packt Publishing, 2018. — 310 p. — ISBN: 1788295625. Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks. Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous...
Packt Publishing, 2018. — 310 p. — ISBN: 1788295625. Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks. Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous...
Packt Publishing, 2018. — 310 p. — ISBN: 1788295625. !Only code files! Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks. Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds...
Packt Publishing, 2018. — 310 p. — ISBN: 1788295625. Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks. Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous...
Boca Raton: CRC Press, 2025. — 358 p. Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the Machine and Deep Learning paradigms, this book adopts Machine and Deep Learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this aspect, it presents the advancements made in...
O’Reilly Media, 2012 — 264 p. If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python. Programming...
Trends in Cognitive Sciences. - 2002. - 1 February. - Vol. 6 Issue 2. - Pp. 59-64. Independent component analysis (ICA) is a method for automatically identifying the underlying factors in a given data set. This rapidly evolving technique is currently finding applications in analysis of biomedical signals (e.g. ERP, EEG, fMRI, optical imaging), and in models of visual receptive...
CreateSpace Independent Publishing Platform, 2016. — 123 p. — ISBN10: 151518370X. — ISBN13: 978-1515183709 Face recognition become very interesting topic of research because of lot of unsolved parameters. From past few decades number of researchers work on the topic to solve the problem of face recognition but still successful face recognition system is not yet implemented...
CreateSpace Independent Publishing Platform, 2016. — 123 p. — ISBN10: 151518370X. — ISBN13: 978-1515183709 Face recognition become very interesting topic of research because of lot of unsolved parameters. From past few decades number of researchers work on the topic to solve the problem of face recognition but still successful face recognition system is not yet implemented...
Apress, 2021. - 329p. - ISBN: 9781484266151 Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning...
Apress, 2021. - 329p. - ISBN: 9781484266151 Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning...
New York: Mercury Learning and Information, 2019. — 581 p. Embedded vision is the integration of “computer vision” into machines that use algorithms to decode meaning from observed images or video. It has a wide range of applications to Machine Learning (ML), Artificial Intelligence (AI), industrial, medical, driver-less cars, drones, smart phones, aerospace, defense,...
Bristol: Iop Publishing, 2024. — 364 p. — ISBN 0750362456. What this book is about Mastering Computer Vision with Pytorch and Machine Learning is a book which provides a thorough and extensive guide for mastering advanced computer vision techniques for image processing by using Python and PyTorch from the ground up. Computer vision is a field of artificial intelligence and...
Научное приборостроение. - 1993. - Т. 3. - № 1: Дифракционная плоская оптика и обработка изображений. - С. 72 - 88. В работе предложена информационная технология обработки изображений и обнаружения объектов в режиме скользящего окна, допускающая эффективную реализацию с точки зрения вычислительной сложности и качества обнаружения. Рассмотрены основные этапы преобразования...
Учебно-методическое пособие. — Новосибирск: СГУГиТ, 2019. — 138 с. В учебно-методическом пособии изложены теоретические основы методов автоматизации дешифрирования, рассмотрены яркостные и структурные дешифровочные признаки, методы распознавания объектов по их изображениям на снимках, технологические схемы автоматизированного дешифрирования снимков. Для практического освоения...
Учебное пособие. - Новосибирск: СГУГиТ, 2018. – 162 с. Учебное пособие подготовлено профессором, доктором технических наук, заведующим кафедрой фотограмметрии и дистанционного зондирования А. П. Гуком и кандидатом технических наук, доцентом кафедры фотограмметрии и дистанционного зондирования Е. П. Хлебниковой. В учебном пособии изложены теоретические основы методов...
Москва: ДМК Пресс; Elsevier Press, Academiv Press, 2022. — 692 c. — ISBN: 978-5-93700-148-1. Эта книга рассказывает о передовых методах компьютерного зрения. Показано, как искусственный интеллект обнаруживает признаки и объекты, на каких данных он обучается, на чем основано распознавание лиц и действий, отслеживание аномалий. Особое внимание уделяется методам глубокого...
СПб.: Питер, 2023. — 608 p. — (Бестселлеры O’Reilly). — ISBN 978-5-4461-1840-3. Практические примеры из этой книги научат вас создавать приложения глубокого обучения для облачных, мобильных и краевых (edge) систем. Если вы хотите создать что-то необычное, полезное, масштабируемое или просто классное — эта книга для вас. Многолетний опыт исследований в области глубокого обучения...
СПб.: Питер, 2023. — 608 с. — (Бестселлеры O’Reilly). — ISBN 978-5-4461-1840-3. Кем бы вы ни были — инженером-программистом, стремящимся войти в мир глубокого обучения, опытным специалистом по обработке данных или любителем, мечтающим создать «вирусное» приложение с использованием ИИ, — наверняка задавались вопросом: с чего начать? Практические примеры из этой книги научат вас...
СПб.: БХВ-Петербург, 2018. — 312 с. Книга знакомит с современными технологиями компьютерного зрения, позволяющими машинам, роботам, веб-камерам и другим устройствам распознавать изображения. Приведено описание библиотеки компьютерного зрения OpenCV применительно к языку программирования Java. Объясняется, как загружать и сохранять изображения в различных форматах, захватывать...
СПб.: БХВ-Петербург, 2018. — 312 с. Книга знакомит с современными технологиями компьютерного зрения, позволяющими машинам, роботам, веб-камерам и другим устройствам распознавать изображения. Приведено описание библиотеки компьютерного зрения OpenCV применительно к языку программирования Java. Объясняется, как загружать и сохранять изображения в различных форматах, захватывать...
СПб.: БХВ-Петербург, 2018. — 312 с. Книга знакомит с современными технологиями компьютерного зрения, позволяющими машинам, роботам, веб-камерам и другим устройствам распознавать изображения. Приведено описание библиотеки компьютерного зрения OpenCV применительно к языку программирования Java. Объясняется, как загружать и сохранять изображения в различных форматах, захватывать...
Диссертация на соискание учёной степени кандидата технических наук : 05.13.18 – Математическое моделирование, численные методы и комплексы программ. - Институт вычислительных технологий Сибирского отделения Российской академии наук. — Новосибирск, 2015. — 121 с. Научный руководитель : к.ф.-м.н. Пестунов И.А. Целью диссертационной работы является разработка вычислительно...
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