Packt Publishing, 2015. — 115 p. — ISBN: 978-1-78588-617-1. Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content. JavaScript is a dynamic and prototype-based programming language supported by every browser today. JavaScript libraries boast outstanding functionalities that enable you to furnish your own Computer Vision projects,...
Packt, 2020. — 276 p. — ISBN: 9781800201774. Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key Features Explore the fundamentals and applications of supervised machine learning Learn how to easily label and process your complex data using Python libraries Get...
Academic Press, 2021. — 230 p. — ISBN 0128149728, 9780128149720. Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning,...
Springer, 2020. — 513 p. — ISBN: 978-3-030-38148-6 (eBook). Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented...
Springer, 2020. — 454 p. — ISBN: 978-3-030-42374-2 (eBook). Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented...
Springer, 2020. — 694 p. — ISBN: 978-3-030-42378-0 (eBook). Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented...
Bentham Science Publishers, 2015. — 335 p. — ISBN: 978-1-60805-901-0. This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather...
Springer Cham, 2023. — 338 p. — eBook ISBN: 978-3-031-34507-4. Comprehensive guide to geometric computer vision, from image formation to 3D reconstruction Detailed explanations of the underlying algorithms, accompanied by clear and concise MatLAB code Accessible to readers with diverse backgrounds, including computer science, mathematics, and engineering From facial recognition...
Springer, 2021. — 386 p. — ISBN 978-981-16-4938-7. This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge...
CRC Press, 2020. — 305 p. — ISBN13: 978-1-351-00382-7. This book shows that traditional applications in computer vision can be solved through invoking deep learning. The applications addressed and described in the eleven different chapters have been selected in order to demonstrate the capabilities of deep learning algorithms to solve various issues in computer vision. The...
Springer, 2019. — 430 р. — ISBN: 3030029999. This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the...
Wiley-IEEE, 2020. — 240 p. — ISBN 9781119527862. This book focuses on computing aspects and shows how the cognitive principles borrowed from other disciplines can be used to solve problems of computer vision. The book begins with an introduction to the problems of computer vision and why cognitive principles should be used to solve these problems. Then it moves on to a...
Springer, 2016. — 653 p. — ISBN: 3319337610, 9783319337616 Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods. With over 800 essential references, as well as chapter-by-chapter learning assignments, both students and researchers can dig...
Independently published, 2021. — 76 p. — ASIN B08YK5NYDY. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using...
Orange Education Pvt Ltd., 2023. — 336 p. — ISBN-13: 978-93-88590-87-7. Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. Key Features Step-by-step instructions and code snippets for real world ML projects. Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization...
Cambridge University Press, 2012. — 598 p. This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit...
Orange Education Pvt Ltd, AVA, 2025. — 255 p. Key Features Covers core to advanced Computer Vision topics with PyTorch 2.0's latest features and best practices. Progressive learning path to ensure suitability for beginners and experts alike. Tackles practical tasks like optimization, transfer learning, and edge deployment. In an era where Computer Vision has rapidly transformed...
Springer/Southeast University Press, 2024. — 90 p. — ISBN 978-981-99-9190-7. Анализ движения высокого порядка: методы компьютерного зрения This book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer vision. Previous research of motion analysis has generally not yet considered the basic nature...
Packt Publishing Ltd. — 290 p. — ISBN: 978-1-78913-094-2. Create powerful, accurate, and real-time Computer Vision applications using a perfect blend of algorithms and filters. Also learn about object tracking and foreground extractions with a variety of new filters and algorithms. An arena that has been positively impacted by the advancements in processing power and...
Antonio The MIT Press, 2024. — 240 p. — (Adaptive Computation and Machine Learning series). — ISBN-13 978-0262048972. 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...
4th Edition. — CRC Press, 2023. — 470 p. Digital Image Enhancement, Restoration and Compression focuses on human vision-based imaging application development. Examples include making poor images look better, the development of advanced compression algorithms, special effects imaging for motion pictures and the restoration of satellite images distorted by atmospheric...
Packt Publishing, 2019. — 475 p. — ISBN: 978-1-78934-829-3. Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques to process complex image data in real time using GPUs Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPU Computer vision has been...
Orange Education Pvt Ltd., November 2023. — 423 p. — ISBN-13: 978-93-90475-79-7. "Mastering OpenCV with Python" immerses you in the captivating realm of computer vision, with a structured approach that equips you with the knowledge and skills essential for success in this rapidly evolving field. From grasping the fundamental concepts of image processing and OpenCV to mastering...
Packt, 2020. — 752 p. — ISBN: 9781800203587. A practical guide to learning visual perception for self-driving cars for computer vision and autonomous system engineers Key Features Explore the building blocks of the visual perception system in self-driving cars Identify objects and lanes to define the boundary of driving surfaces using open-source tools like OpenCV and Python...
Springer, 2024. — 485 p. — ISBN 978-981-19-7603-2. This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced methodologies and technologies. Divided into 11 chapters, it covers the main workflow of 3D computer vision as follows: camera imaging and calibration models; various modes and...
Springer, 2023. — 452 p. — ISBN 9811975795. This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, “2D Computer Vision: Principles, Algorithms and Applications”), including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D...
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