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Active Lighting and Its Application for Computer Vision: 40 Years of History of Active Lighting Techniques, Ikeuchi Katsushi, Matsushita Yasuyuki, Sagawa Ryusuke


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Автор: Ikeuchi Katsushi, Matsushita Yasuyuki, Sagawa Ryusuke
Название:  Active Lighting and Its Application for Computer Vision: 40 Years of History of Active Lighting Techniques
ISBN: 9783030565763
Издательство: Springer
Классификация:



ISBN-10: 3030565769
Обложка/Формат: Hardcover
Страницы: 308
Вес: 0.63 кг.
Дата издания: 08.09.2020
Серия: Advances in computer vision and pattern recognition
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 167 illustrations, color; 84 illustrations, black and white; xiv, 308 p. 251 illus., 167 illus. in color.
Размер: 23.39 x 15.60 x 1.91 cm
Читательская аудитория: Professional & vocational
Подзаголовок: 40 years of history of active lighting techniques
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book describes active illumination techniques in computer vision. The final part shows how such active illumination techniques can be applied to various domains, describing the issue to be overcome by active illumination techniques and the advantages of using these techniques.


Computer Vision/Computer Graphics Collaboration Techniques

Автор: Andr? Gagalowicz; Wilfried Philips
Название: Computer Vision/Computer Graphics Collaboration Techniques
ISBN: 3642018106 ISBN-13(EAN): 9783642018107
Издательство: Springer
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Цена: 10976.00 р.
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Описание: This book constitutes the refereed proceedings of the 4th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, MIRAGE 2009, held in Rocquencourt, France, in May 2009.

Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques

Автор: Kar Krishnendu
Название: Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques
ISBN: 1838827064 ISBN-13(EAN): 9781838827069
Издательство: Неизвестно
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Цена: 9378.00 р.
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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.

Optimization Techniques in Computer Vision: Ill-Posed Problems and Regularization

Автор: Abidi Mongi A., Gribok Andrei V., Paik Joonki
Название: Optimization Techniques in Computer Vision: Ill-Posed Problems and Regularization
ISBN: 3319835017 ISBN-13(EAN): 9783319835013
Издательство: Springer
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Цена: 10976.00 р.
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Описание: This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems.

Computer Vision Techniques for the Diagnosis of Skin Cancer

Автор: Jacob Scharcanski; M. Emre Celebi
Название: Computer Vision Techniques for the Diagnosis of Skin Cancer
ISBN: 3642396070 ISBN-13(EAN): 9783642396076
Издательство: Springer
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Цена: 15957.00 р.
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Описание: Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi.

Optimization Techniques in Computer Vision

Автор: Mongi A. Abidi; Andrei V. Gribok; Joonki Paik
Название: Optimization Techniques in Computer Vision
ISBN: 3319463632 ISBN-13(EAN): 9783319463636
Издательство: Springer
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Цена: 15855.00 р.
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Описание: This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.

Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.
Video Surveillance Techniques And Technologies

Автор: Zeljkovic
Название: Video Surveillance Techniques And Technologies
ISBN: 1466648961 ISBN-13(EAN): 9781466648968
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
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Описание: Security video surveillance systems, such as homeland security and national defence, rely on specific mathematical algorithms in order to run effectively. It is essential for these parameters to be understood in order to design and create a successful system.Video Surveillance Techniques and Technologies presents empirical research and acquired experience on the original solutions and mathematical algorithms for motion detection and object identification problems. Emphasising a wide variety of applications of security systems, this book is an essential tool for graduate students and professionals in the field of signal and image processing applied in static/moving object detection, tracking, and identification.

Research Developments In Biometrics And Video Processing Techniques

Автор: Srivastava, Singh & Shukla
Название: Research Developments In Biometrics And Video Processing Techniques
ISBN: 1466648686 ISBN-13(EAN): 9781466648685
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: The advancement of security technologies has allowed information systems to store more crucial and sensitive data. With these advancements, organisations turn to physiological and behavioral methods of identification in order to guard against unwanted intrusion.Research Developments in Biometrics and Video Processing Techniques investigates advanced techniques in user identification and security, including retinal, facial, and finger print scans as well as signature and voice authentication models. Through its in-depth examination of computer vision applications and other biometric security technologies, this reference volume will provide researchers, engineers, developers, and students with insight into the latest research on enhanced security systems design and development.

Computer Vision Techniques for the Diagnosis of Skin Cancer

Автор: Jacob Scharcanski; M. Emre Celebi
Название: Computer Vision Techniques for the Diagnosis of Skin Cancer
ISBN: 3662522624 ISBN-13(EAN): 9783662522622
Издательство: Springer
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Цена: 13677.00 р.
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Описание: Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi.

Автор: Ankit Kumar Jain, Mohit Dua
Название: Machine Learning Techniques for Pattern Recognition and Information Security
ISBN: 1799833003 ISBN-13(EAN): 9781799833000
Издательство: Mare Nostrum (Eurospan)
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Цена: 26888.00 р.
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Описание: The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into their everyday practices. Two fields that have majorly benefited from this are pattern recognition and information security. The ability of these intelligent algorithms to learn complex patterns from data and attain new performance techniques has created a wide variety of uses and applications within the data security industry. There is a need for research on the specific uses machine learning methods have within these fields, along with future perspectives.

Machine Learning Techniques for Pattern Recognition and Information Security is a collection of innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. While highlighting topics including anomaly detection systems, biometrics, and intrusion management, this book is ideally designed for industrial experts, researchers, IT professionals, network developers, policymakers, computer scientists, educators, and students seeking current research on implementing machine learning tactics to enhance the performance of information security.

Machine Learning Techniques for Pattern Recognition and Information Security

Автор: Ankit Kumar Jain, Mohit Dua
Название: Machine Learning Techniques for Pattern Recognition and Information Security
ISBN: 1799832996 ISBN-13(EAN): 9781799832997
Издательство: Mare Nostrum (Eurospan)
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Цена: 46985.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into their everyday practices. Two fields that have majorly benefited from this are pattern recognition and information security. The ability of these intelligent algorithms to learn complex patterns from data and attain new performance techniques has created a wide variety of uses and applications within the data security industry. There is a need for research on the specific uses machine learning methods have within these fields, along with future perspectives.

Machine Learning Techniques for Pattern Recognition and Information Security is a collection of innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. While highlighting topics including anomaly detection systems, biometrics, and intrusion management, this book is ideally designed for industrial experts, researchers, IT professionals, network developers, policymakers, computer scientists, educators, and students seeking current research on implementing machine learning tactics to enhance the performance of information security.

Active Perception and Robot Vision

Автор: Arun K. Sood; Harry Wechsler
Название: Active Perception and Robot Vision
ISBN: 3642772277 ISBN-13(EAN): 9783642772276
Издательство: Springer
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Цена: 12805.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute on Active Perception and Robot Vision, held at Maratea, Italy, July 16-29, 1989

Active Sensor Planning for Multiview Vision Tasks

Автор: Shengyong Chen; Y. F. Li; Jianwei Zhang; Wanliang
Название: Active Sensor Planning for Multiview Vision Tasks
ISBN: 3642437370 ISBN-13(EAN): 9783642437373
Издательство: Springer
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Цена: 17096.00 р.
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Описание: This unique book explores the important issues in studying for active visual perception. The book`s eleven chapters draw on recent important work in robot vision over ten years, particularly in the use of new concepts.


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