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Advanced Methods and Deep Learning in Computer Vision, E. R. Davies



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Цена: 12705р.
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Автор: E. R. Davies
Название:  Advanced Methods and Deep Learning in Computer Vision
Перевод названия: Э Р. Дэвис: Передовые методы и глубокое обучение в области компьютерного зрения
ISBN: 9780128221099
Издательство: Elsevier Science
Классификация:
ISBN-10: 0128221097
Обложка/Формат: Trade Paperback
Вес: 0.988 кг.
Дата издания: 26.11.2021
Серия: Computer vision and pattern recognition
Язык: English
Иллюстрации: Approx. 175 illustrations (125 in full color); illustrations, unspecified
Размер: 23.50 x 19.05 x 3.00 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Англии



State Estimation for Robotics

Автор: Barfoot Timothy D
Название: State Estimation for Robotics
ISBN: 1107159393 ISBN-13(EAN): 9781107159396
Издательство: Cambridge Academ
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Цена: 11639 р.
Наличие на складе: Поставка под заказ.

Описание: A key aspect of robotics today is estimating the state, such as position and orientation, of a robot as it moves through the world. Most robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world. This book presents common sensor models and practical advice on how to carry out state estimation for rotations and other state variables. It covers both classical state estimation methods such as the Kalman filter, as well as important modern topics such as batch estimation, the Bayes filter, sigmapoint and particle filters, robust estimation for outlier rejection, and continuous-time trajectory estimation and its connection to Gaussian-process regression. The methods are demonstrated in the context of important applications such as point-cloud alignment, pose-graph relaxation, bundle adjustment, and simultaneous localization and mapping. Students and practitioners of robotics alike will find this a valuable resource.

Multiple View Geometry in Computer Vision

Автор: Hartley, Zisserman
Название: Multiple View Geometry in Computer Vision
ISBN: 0521540518 ISBN-13(EAN): 9780521540513
Издательство: Cambridge Academ
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Цена: 10681 р.
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Описание: A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. 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. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.

Advanced Topics in Computer Vision

Автор: Giovanni Maria Farinella; Sebastiano Battiato; Rob
Название: Advanced Topics in Computer Vision
ISBN: 1447170253 ISBN-13(EAN): 9781447170259
Издательство: Springer
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Цена: 12704 р.
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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.

Advanced Topics in Computer Vision

Автор: Giovanni Maria Farinella; Sebastiano Battiato; Rob
Название: Advanced Topics in Computer Vision
ISBN: 144715519X ISBN-13(EAN): 9781447155195
Издательство: Springer
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Цена: 12704 р.
Наличие на складе: 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.

Advanced Topics on Computer Vision, Control and Robotics in Mechatronics

Автор: Vergara Villegas
Название: Advanced Topics on Computer Vision, Control and Robotics in Mechatronics
ISBN: 3319777696 ISBN-13(EAN): 9783319777696
Издательство: Springer
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Цена: 17324 р.
Наличие на складе: Поставка под заказ.

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.

Computer Vision: Advanced Techniques and Applications

Автор: Holden Steve
Название: Computer Vision: Advanced Techniques and Applications
ISBN: 1632408147 ISBN-13(EAN): 9781632408143
Издательство: Неизвестно
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Цена: 21347 р.
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Advanced Procrustes Analysis Models in Photogrammetric Computer Vision

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
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Цена: 13859 р.
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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.

Автор: Shouvik Chakraborty, Kalyani Mali
Название: Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
ISBN: 1799827372 ISBN-13(EAN): 9781799827375
Издательство: Eurospan
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Цена: 19595 р.
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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.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities

Автор: Shouvik Chakraborty, Kalyani Mali
Название: Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
ISBN: 1799827364 ISBN-13(EAN): 9781799827368
Издательство: Eurospan
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Цена: 25366 р.
Наличие на складе: 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.

Scale Space and Variational Methods in Computer Vision / First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings

Автор: Sgallari Fiorella, Murli Almerico, Paragios Nikos
Название: Scale Space and Variational Methods in Computer Vision / First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings
ISBN: 3540728228 ISBN-13(EAN): 9783540728221
Издательство: Springer
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Цена: 16746 р.
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Описание: This book constitutes the refereed proceedings of the First International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2007, emanated from the joint edition of the 4th International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2007 and the 6th International Conference on Scale Space and PDE Methods in Computer Vision, Scale-Space 2007, held in Ischia Italy in May/June 2007.The 24 revised full papers and 55 revised poster papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in topical sections on scale space and features extraction, image enhancement and reconstruction, image segmentation and visual grouping, motion analysis, optical flow, registration and tracking, 3D from images, scale space and feature extraction, image enhancement, reconstruction and texture synthesis, image segmentation and visual grouping, motion analysis, optical flow, registration and tracking, and biological relevance.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Boykov
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3642230938 ISBN-13(EAN): 9783642230936
Издательство: Springer
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Цена: 8084 р.
Наличие на складе: Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 8th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2011, held in St. Petersburg, Russia in July , 2011. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continuous optimization, segmentation, motion and video, learning and shape analysis.

Experimental Human-Computer Interaction

Автор: Purchase
Название: Experimental Human-Computer Interaction
ISBN: 0521279542 ISBN-13(EAN): 9780521279543
Издательство: Cambridge Academ
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Цена: 3148 р.
Наличие на складе: Поставка под заказ.

Описание: Experiments that require the use of human participants are time consuming and costly: it is important to get the process right the first time. Planning and preparation are key to success. This practical book takes the human-computer interaction researcher through the complete experimental process, from identifying a research question to designing and conducting an experiment, and then to analysing and reporting the results. The advice offered in this book draws on the author's twenty years of experience running experiments. In describing general concepts of experimental design and analysis she refers to numerous worked examples that address the very real practicalities and problems of conducting an experiment, such as managing participants, getting ethical approval, pre-empting criticism, choosing a statistical method and dealing with unexpected events.


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