Advanced Methods and Deep Learning in Computer Vision, E. R. Davies
Автор: Hartley, Zisserman Название: Multiple View Geometry in Computer Vision ISBN: 0521540518 ISBN-13(EAN): 9780521540513 Издательство: Cambridge Academ Рейтинг: Цена: 13146 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The theory and practice of scene reconstruction are described in detail in a unified framework. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition.
Автор: Giovanni Maria Farinella; Sebastiano Battiato; Rob Название: Advanced Topics in Computer Vision ISBN: 144715519X ISBN-13(EAN): 9781447155195 Издательство: Springer Рейтинг: Цена: 15372 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text describes novel algorithms designed to infer the semantic content of images and videos.
Описание: The field of mechatronics (which is the synergistic combination of precision mechanical engineering, electronic control and systems thinking in the design of products and manufacturing processes) is gaining much attention in industries and academics.
Автор: Fabio Crosilla; Alberto Beinat; Andrea Fusiello; E Название: Advanced Procrustes Analysis Models in Photogrammetric Computer Vision ISBN: 3030117596 ISBN-13(EAN): 9783030117597 Издательство: Springer Рейтинг: Цена: 16769 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods.
Описание: You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.
Автор: Barfoot Timothy D Название: State Estimation for Robotics ISBN: 1107159393 ISBN-13(EAN): 9781107159396 Издательство: Cambridge Academ Рейтинг: Цена: 14254 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is intended for students and practitioners of robotics who are interested in using noisy sensor data to estimate the position, orientation, and other state variables of robots as they move through the three-dimensional world. It covers classical and modern techniques commonly used in robotics today.
Автор: Giovanni Maria Farinella; Sebastiano Battiato; Rob Название: Advanced Topics in Computer Vision ISBN: 1447170253 ISBN-13(EAN): 9781447170259 Издательство: Springer Рейтинг: Цена: 15372 р. Наличие на складе: Невозможна поставка.
Описание: This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text describes novel algorithms designed to infer the semantic content of images and videos.
Автор: Holden Steve Название: Computer Vision: Advanced Techniques and Applications ISBN: 1632408147 ISBN-13(EAN): 9781632408143 Издательство: Неизвестно Рейтинг: Цена: 27605 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
Автор: Alan L. Yuille; Song-Chun Zhu; Daniel Cremers; Yon Название: Energy Minimization Methods in Computer Vision and Pattern Recognition ISBN: 354074195X ISBN-13(EAN): 9783540741954 Издательство: Springer Рейтинг: Цена: 14673 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007, held in Ezhou, China in August 2007. This work contains papers organized in topical sections on algorithms, applications, image parsing, image processing, shape and three-dimensional processing.
Автор: Xue-Cheng Tai; Knut Morken; Marius Lysaker; Knut-A Название: Scale Space and Variational Methods in Computer Vision ISBN: 3642022553 ISBN-13(EAN): 9783642022555 Издательство: Springer Рейтинг: Цена: 19564 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains 71 original, scienti?c articles that address state-of-the-art researchrelatedto scale space and variationalmethods for image processing and computer vision.
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