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Titlebook: Machine Vision and Navigation; Oleg Sergiyenko,Wendy Flores-Fuentes,Paolo Mercore Book 2020 Springer Nature Switzerland AG 2020 2D & 3D.Ma

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發(fā)表于 2025-3-21 16:25:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Machine Vision and Navigation
編輯Oleg Sergiyenko,Wendy Flores-Fuentes,Paolo Mercore
視頻videohttp://file.papertrans.cn/621/620797/620797.mp4
概述Presents the state-of-the-art in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories and applications;.Discusses applications such as daily use devices including robot
圖書(shū)封面Titlebook: Machine Vision and Navigation;  Oleg Sergiyenko,Wendy Flores-Fuentes,Paolo Mercore Book 2020 Springer Nature Switzerland AG 2020 2D & 3D.Ma
描述.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 contributi
出版日期Book 2020
關(guān)鍵詞2D & 3D; Machine Vision and navigation; Measurements and Machine Vision and navigation; Monitoring and
版次1
doihttps://doi.org/10.1007/978-3-030-22587-2
isbn_softcover978-3-030-22589-6
isbn_ebook978-3-030-22587-2
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Stereoscopic Vision Systems in Machine Vision, Models, and Applicationsifferent methods and applications of SVS used in the industry and current research topics. Also, it will be useful for everyone who wants to implement an SVS and needs an introduction to several available options to use the most convenient according to the application.
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Image and Signal Sensors for Computing and Machine Vision: Developments to Meet Future Needseak fully into the market, image sensors developed from alternative solution-processed materials such as organic semiconductors and organohalide perovskites have immense potential to address the above issues and to ‘disrupt’ machine vision technology.
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Book 2020 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 re
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Image and Signal Sensors for Computing and Machine Vision: Developments to Meet Future Needs their use in applications for which there will be considerable demand in the future. Most approaches aiming to resolve these inadequacies focus on developing improvements in the lighting, software (processing algorithms) or hardware surrounding the photosensor such as the filters. Other strategies
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Bio-Inspired, Real-Time Passive Vision for Mobile Robotssects, and functions inspired by the peripheral/foveal vision cooperation typical to visual perception in vertebrates. To provide the ability of rapid object detection the sensor exploits a catadioptric camera, while a rotating perspective camera makes it possible to measure distances focusing atten
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