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Machine Vision and Navigation, Oleg Sergiyenko; Wendy Flores-Fuentes; Paolo Merco


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Цена: 39130.00р.
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Автор: Oleg Sergiyenko; Wendy Flores-Fuentes; Paolo Merco
Название:  Machine Vision and Navigation
ISBN: 9783030225865
Издательство: Springer
Классификация:






ISBN-10: 3030225860
Обложка/Формат: Hardcover
Страницы: 851
Вес: 1.49 кг.
Дата издания: 2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 50 tables, color; 362 illustrations, color; 121 illustrations, black and white; xxxv, 851 p. 483 illus., 362 illus. in color.
Размер: 234 x 156 x 46
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents a variety of perspectives on vision-based applications. These contributions are focused on optoelectronic sensors, 3D & 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms and vision systems. The authors focus on applications of unmanned aerial vehicles, autonomous and mobile robots, industrial inspection applications and structural health monitoring. Recent advanced research in measurement and others areas where 3D & 2D machine vision and machine control play an important role, as well as surveys and reviews about vision-based applications. These topics are of interest to readers from diverse areas, including electrical, electronics and computer engineering, technologists, students and non-specialist readers.• Presents current research in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories and applications; • Discusses applications such as daily use devices including robotics, detection, tracking and stereoscopic vision systems, pose estimation, avoidance of objects, control and data exchange for navigation, and aerial imagery processing; • Includes research contributions in scientific, industrial, and civil applications.

Дополнительное описание:
Part I. Image and Signal Sensors.- Chapter 1. Image and Signal Sensors for Computing and Machine Vision: developments to meet future needs.- Chapter 2. Bio-Inspired, Real-Time Passive Vision for Mobile Robots.- Chapter 3. Color and Depth Sensing Sens



Machine Vision and Navigation

Автор: Sergiyenko Oleg, Flores-Fuentes Wendy, Mercorelli Paolo
Название: Machine Vision and Navigation
ISBN: 3030225895 ISBN-13(EAN): 9783030225896
Издательство: Springer
Цена: 39130.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: These topics are of interest to readers from diverse areas, including electrical, electronics and computer engineering, technologists, students and non-specialist readers.* Presents current research in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories and applications;

Vision Based Autonomous Robot Navigation

Автор: Amitava Chatterjee; Anjan Rakshit; N. Nirmal Singh
Название: Vision Based Autonomous Robot Navigation
ISBN: 3642426700 ISBN-13(EAN): 9783642426704
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book covers the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. It details several new approaches for real life vision based autonomous navigation algorithms.

Vision Based Autonomous Robot Navigation

Автор: Chatterjee
Название: Vision Based Autonomous Robot Navigation
ISBN: 3642339646 ISBN-13(EAN): 9783642339646
Издательство: Springer
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Цена: 19591.00 р.
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Описание: This book covers the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. It details several new approaches for real life vision based autonomous navigation algorithms.

Vision and Navigation

Автор: Charles E. Thorpe
Название: Vision and Navigation
ISBN: 1461288223 ISBN-13(EAN): 9781461288220
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Since 1980, we have developed a series of small indoor mobile robots, some experimental, and others for practical applicationr Our outdoor autonomous mobile robot research started in 1984, navigating through the campus sidewalk network using a small outdoor vehicle called the Terregator.

Precision Landmark Location for Machine Vision and Photogrammetry / Finding and Achieving the Maximum Possible Accuracy

Автор: Gutierrez JosГ© A., Armstrong Brian S.R.
Название: Precision Landmark Location for Machine Vision and Photogrammetry / Finding and Achieving the Maximum Possible Accuracy
ISBN: 1846289122 ISBN-13(EAN): 9781846289125
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component alignment, part inspection and photogrammetry, among others. In all these applications, landmarks are detected and located in images, and measurements made from those locations.Precision Landmark Location for Machine Vision and Photogrammetry addresses the ubiquitous problem of measurement error associated with determining the location of landmarks in images. With a detailed model of the image formation process and landmark location estimation, the CramГ©r–Rao Lower Bound (CRLB) theory of statistics is applied to determine the least possible measurement uncertainty in a given situation.This monograph provides the reader with:• the most complete treatment to date of precision landmark location and the engineering aspects of image capture and processing;• detailed theoretical treatment of the CRLB;• a software tool for analyzing the potential performance-specific camera/lens/algorithm configurations;• two novel algorithms which achieve precision very close to the CRLB;• an experimental method for determining the accuracy of landmark location;• downloadable MATLABВ® package to assist the reader with applying theoretically-derived results to practical engineering configurations.All of this adds up to a treatment that is at once theoretically sound and eminently practical.Precision Landmark Location for Machine Vision and Photogrammetry will be of great interest to computer scientists and engineers working with and/or studying image processing and measurement. It includes cutting-edge theoretical developments and practical tools so it will appeal to research investigators and system designers.

Machine Learning in Medical Imaging

Автор: Wang
Название: Machine Learning in Medical Imaging
ISBN: 3319471562 ISBN-13(EAN): 9783319471563
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging.

Image Acquisition

Автор: M.W. Burke
Название: Image Acquisition
ISBN: 9401065209 ISBN-13(EAN): 9789401065207
Издательство: Springer
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Цена: 16979.00 р.
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Описание: MV engineering is a truly multidisciplinary area and perhaps because of this, it is plagued with imprecise jargon. This book attempts to collect the fundamental concepts into a single, well-integrated, self-consistent exposition that will serve as a relatively painless introduction to the field of MV Engineering.

Visual Saliency Computation

Автор: Jia Li; Wen Gao
Название: Visual Saliency Computation
ISBN: 3319056417 ISBN-13(EAN): 9783319056418
Издательство: Springer
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Цена: 8803.00 р.
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Описание: This book covers fundamental principles and computational approaches relevant to visual saliency computation. and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications.

Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation

Автор: Danail Stoyanov; Zeike Taylor; Stephen Aylward; Jo
Название: Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation
ISBN: 3030010449 ISBN-13(EAN): 9783030010447
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed joint proceedings of the International Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.The 10 full papers presented at POCUS 2018, the 4 full papers presented at BIVPCS 2018, the 8 full papers presented at CuRIOUS 2018, and the 2 full papers presented at CPM 2018 were carefully reviewed and selected. The papers feature research from complementary fields such as ultrasound image systems applications as well as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry. They discuss intra-operative ultrasound-guided brain tumor resection as well as pancreatic cancer survival prediction.

Challenges and Applications for Implementing Machine Learning in Computer Vision

Автор: Ramgopal Kashyap, A.V. Senthil Kumar
Название: Challenges and Applications for Implementing Machine Learning in Computer Vision
ISBN: 1799801837 ISBN-13(EAN): 9781799801832
Издательство: Mare Nostrum (Eurospan)
Цена: 25978.00 р.
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Описание: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

Interactive image processing for machine vision

Автор: Batchelor, Bruce G. Waltz, Frederick
Название: Interactive image processing for machine vision
ISBN: 1447111303 ISBN-13(EAN): 9781447111306
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Machine vision systems offer great potential in a large number of areas of manufacturing industry and are used principally for Automated Visual Inspection and Robot Vision. A comprehensive set of image processing subroutines, which together form the basic vocabulary for the versatile image processing language IIPL, is presented.

Machine Vision and Its Applications

Автор: Lesley Martha
Название: Machine Vision and Its Applications
ISBN: 1632403323 ISBN-13(EAN): 9781632403322
Издательство: Неизвестно
Цена: 27579.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.


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