Intelligent Robots and Computer Vision
Author:
Publisher:
Published: 1998
Total Pages: 570
ISBN-13:
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The Reasonable Robot
Author: Ryan Abbott
Publisher: Cambridge University Press
Published: 2020-06-25
Total Pages: 165
ISBN-13: 1108472125
DOWNLOAD EBOOKArgues that treating people and artificial intelligence differently under the law results in unexpected and harmful outcomes for social welfare.
Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era
Author: Srinivasan, A.
Publisher: IGI Global
Published: 2022-10-21
Total Pages: 467
ISBN-13: 1799888940
DOWNLOAD EBOOKIn recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems. The Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.
Robotic Vision: Technologies for Machine Learning and Vision Applications
Author: Garcia-Rodriguez, Jose
Publisher: IGI Global
Published: 2012-12-31
Total Pages: 535
ISBN-13: 1466627034
DOWNLOAD EBOOKRobotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation. As these computer vision and robotic connections continue to develop, the benefits of vision technology including savings, improved quality, reliability, safety, and productivity are revealed. Robotic Vision: Technologies for Machine Learning and Vision Applications is a comprehensive collection which highlights a solid framework for understanding existing work and planning future research. This book includes current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world.
Cluster Computing for Robotics and Computer Vision
Author: Damian M. Lyons
Publisher: World Scientific
Published: 2011
Total Pages: 235
ISBN-13: 9812836365
DOWNLOAD EBOOKIn this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, target tracking, action selection and landmark learning, are reviewed and cluster implementations for these are presented. The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.
Cluster Computing for Robotics and Computer Vision
Author: Damian M. Lyons
Publisher: World Scientific
Published: 2011
Total Pages: 235
ISBN-13: 9812836357
DOWNLOAD EBOOKIn this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, path planning, target tracking, action selection and learning, are reviewed and cluster implementations for these are presented. The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.
Image Feature Detectors and Descriptors
Author: Ali Ismail Awad
Publisher: Springer
Published: 2016-02-22
Total Pages: 437
ISBN-13: 3319288547
DOWNLOAD EBOOKThis book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition.
Computer Vision
Author: Simon J. D. Prince
Publisher: Cambridge University Press
Published: 2012-06-18
Total Pages: 599
ISBN-13: 1107011795
DOWNLOAD EBOOKA modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.
Handbook of Research on Machine Learning Innovations and Trends
Author: Hassanien, Aboul Ella
Publisher: IGI Global
Published: 2017-04-03
Total Pages: 1269
ISBN-13: 1522522301
DOWNLOAD EBOOKContinuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.
Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005)
Author: Kazuyuki Murase
Publisher: Springer Science & Business Media
Published: 2006-01-16
Total Pages: 402
ISBN-13: 3540293442
DOWNLOAD EBOOKThis volume contains a collection of papers presented at the 3rd Interna tional Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005) that is held at Awara-Spa, Fukui, Japan, September 20-22, 2005. This is a biennial symposium, which started as AMiRE 2001 at the Heinz Nixdorf Institute of the University of Paderborn, Germany, in 2001, and was followed by AMiRE 2003 at Queensland University of Technology, Brisbane, Australia, in 2003. After these successful symposia, AMiRE 2005 is held under the sponsorship of the Faculty of Engineering, University of Fukui and under the co-sponsorship of the IEEE Robotics and Automation Society. It is funded by the Fukui Convention Bureau and the University of Fukui. Each full-length paper submitted to the symposium was independently reviewed by 3 referees from the world's front-line researchers, and 55 papers were accepted for oral presentation. We acknowledge generous support for those who gave excellent reviews in order to maintain the high standards of the symposium despite a very tight schedule.
