Download or read book Cluster Computing for Robotics and Computer Vision written by and published by World Scientific. This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computer Vision for Robotic Systems written by Michael C. Fairhurst and published by . This book was released on 1988 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computer Vision and Robotics written by John X. Liu and published by Nova Publishers. This book was released on 2006 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with control and learning in robotic systems and computers.

Download or read book Computer Vision and Robotics written by Praveen Kumar Shukla and published by Springer Nature. This book was released on 2023-04-27 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of the high-quality research articles in the field of computer vision and robotics which are presented in International Conference on Computer Vision and Robotics (ICCVR 2022), organized by BBD University Lucknow India, during 21 – 22 May 2022. The book discusses applications of computer vision and robotics in the fields like medical science, defence and smart city planning. This book presents recent works from researchers, academicians, industry, and policy makers.

Download or read book Robotic Vision Technologies for Machine Learning and Vision Applications written by Garcia-Rodriguez, Jose and published by IGI Global. This book was released on 2012-12-31 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotic 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.

Download or read book Computer Vision and Sensor Based Robots written by George G. Dodd and published by Springer. This book was released on 1979-09 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal ofthe symposium, "Computer Vision and Sensor-Based Robots," held at the General Motors Research Laboratories on September 2S and 26, 1978, was to stimulate a closer interaction between people working in diverse areas and to discuss fundamental issues related to vision and robotics. This book contains the papers and general discussions of that symposium, the 22nd in an annual series covering different technical disciplines that are timely and of interest to General Motors as well as the technical community at large. The subject of this symposium remains timely because the cost of computer vision hardware continues to drop and there is increasing use of robots in manufacturing applications. Current industrial applications of computer vision range from simple systems that measure or compare to sophisticated systems for part location determination and inspection. Almost all industrial robots today work with known parts in known posi tions, and we are just now beginning to see the emergence of programmable automa tion in which the robot can react to its environment when stimulated by visual and force-touch sensor inputs. As discussed in the symposium, future advances will depend largely on research now underway in several key areas. Development of vision systems that can meet industrial speed and resolution requirements with a sense of depth and color is a necessary step.

Download or read book Applications of AI Machine Vision and Robotics written by K L Boyer and published by World Scientific. This book was released on 1995-02-28 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text features a broad array of research efforts in computer vision including low level processing, perceptual organization, object recognition and active vision. The volume's nine papers specifically report on topics such as sensor confidence, low level feature extraction schemes, non-parametric multi-scale curve smoothing, integration of geometric and non-geometric attributes for object recognition, design criteria for a four degree-of-freedom robot head, a real-time vision system based on control of visual attention and a behavior-based active eye vision system. The scope of the book provides an excellent sample of current concepts, examples and applications from multiple areas of computer vision. Contents:Range Estimation from Camera Blur by Regularized Adaptive Identification (L F Holeva)Modeling Sensor Confidence for Sensor Integration Tasks (K Hughes & N Ranganathan)From 3-D Scattered Data to Geometric Signal Description: Invariant Stable Recovery of Straight Line Segments (P Hébert et al.)Feature Extraction and Matching as Signal Detection (X-P Hu & N Ahuja)Non-Parametric Multiscale Curve Smoothing (P L Rosin)Integration of Geometric and Non-Geometric Attributes for Fast Object Recognition (L Grewe & A Kak)A Four Degree-of-Freedom Robot Head for Active Vision (F-L Du & M Brady)Control of Eye and Arm Movements Using Active, Attentional Vision (P A Sandon)Behavior-Based Active Vision (C S Pinhanez) Readership: Computer scientists and engineers. keywords:

Download or read book Robotics Vision and Control written by Peter Corke and published by Springer Nature. This book was released on 2023-06-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a cohesive narrative. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code. This edition is based on MATLAB® and a number of MathWorks® toolboxes. These provide a set of supported software tools for addressing a broad range of applications in robotics and computer vision. These toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems. For the beginning student, the book makes the algorithms accessible, the toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on toolbox functions. Two co-authors from MathWorks have joined the writing team and bring deep knowledge of these MATLAB toolboxes and workflows.

Download or read book Machine Learning based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment written by Xiaochun Wang and published by Springer. This book was released on 2019-08-12 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.

Download or read book Robotics Computer Vision and Intelligent Systems written by Joaquim Filipe and published by Springer Nature. This book was released on with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Emerging Topics in Computer Vision and its Applications written by C H Chen and published by World Scientific. This book was released on 2011-09-28 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it gives an extensive coverage of 3D and robotic vision problems. Example chapters featured are Fourier methods for 3D surface modeling and analysis, use of constraints for calibration-free 3D Euclidean reconstruction, novel photogeometric methods for capturing static and dynamic objects, performance evaluation of robot localization methods in outdoor terrains, integrating 3D vision with force/tactile sensors, tracking via in-floor sensing, self-calibration of camera networks, etc. Some unique applications of computer vision in marine fishery, biomedical issues, driver assistance, are also highlighted. Contents: Emerging Theory and Methodologies in Computer Vision:On the Estimation of 3D Human Body Models and Pose from Multiple Cameras (Aravind Sundaresan and Rama Chellappa)Face Super-Resolution (Wilman W W Zou and Pong C Yuen)Classification and Clustering of Vector Space Embedded Graphs (Kaspar Riesen and Horst Bunke)Activity Modeling and Recognition Using Probabilistic Graphical Models (Xiaoyang Wang, Zhi Zeng and Qiang Ji)Background Estimation and Its Applications (Xida Chen and Yee-Hong Yang)Nonrigid Image Registration Using Moments (Wei Liu and Eraldo Ribeiro)Nonparametric Sample-Based Methods for Image Understanding (Alexander Wong, Akshaya Mishra, David A Clausi and Paul W Fieguth)A Probabilistic Formulation for the Correspondence Problem (Ron Tal and Minas E Spetsakis)Emerging Applications of Computer Vision:Fourier Methods for 3D Surface Modeling and Analysis (Li Shen, Sungeun Kim, Jing Wan, John D West and Andrew J Saykin)Near Infrared Face Recognition and Eyeglasses (Stan Z Li and Dong Yi)The Phase Only Transform for Unsupervised Surface Defect Detection (D Aiger and H Talbot)Cellular Automata as a Tool for Image Processing (Paul L Rosin and Xianfang Sun)Computer Vision in Marine Fishery Identification (Bichuan Shen and Chi Hau Chen)Vehicle Detection in Remote Sensing Satellite Imagery (Bichuan Shen, C H Chen and Giovanni Marchisio)Application of Polar Harmonic Transforms to Fingerprint Classification (Manhua Liu, Xudong Jiang, Alex Chichung Kot and Pew-Thian Yap)Object Correspondence Networks for Unsupervised Recognition of Identical Objects (Minsu Cho, Young Min Shin and Kyoung Mu Lee)Modern Systems and Technology in Computer Vision:The Use of Constraints for Calibration-Free 3D Metric Reconstruction: From Theory to Applications (B Boufama and S Bouakaz)Auction-Based Dynamic Camera Grouping with Active Control (Bir Bhanu and Yiming Li)Novel Photogeometric Methods for Capturing Static and Dynamic Objects (Yi Xu and Daniel G Aliaga)Multi-View Surface Reconstruction by Quasi-Dense Wide Baseline Matching (Juho Kannala, Markus Ylimäki, Pekka Koskenkorva and Sami S Brandt)Combining Traffic Sign Detection with 3D Tracking Towards Better Driver Assistance (Radu Timofte, Victor Adrian Prisacariu, Luc Van Gool and Ian Reid)Self-Calibration of Camera Networks: Active and Passive Methods (Marcel Brückner, Ferid Bajramovic and Joachim Denzler)A Performance Evaluation of Robot Localization Methods in Outdoor Terrains (Ehsan Fazl-Ersi and John K Tsotsos) Readership: Researchers, professionals and academics in pattern recognition and image analysis, robotics & automation, software engineering, numerical and computational mathematics, and computer engineering. Keywords:Theory and Methods in Computer Vision;3-D Vision and Reconstruction;Robotic Vision;Vector Space Embedded GraphsKey Features:

Download or read book Sensor Based Robots Algorithms and Architectures written by C.S.George Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most industrial robots today have little or no sensory capability. Feedback is limited to information about joint positions, combined with a few interlock and timing signals. These robots can function only in an environment where the objects to be manipulated are precisely located in the proper position for the robot to grasp (i. e. , in a structured environment). For many present industrial applications, this level of performance has been adequate. With the increasing demand for high performance sensor-based robot manipulators in assembly tasks, meeting this demand and challenge can only be achieved through the consideration of: 1) efficient acquisition and processing of intemaVextemal sensory information, 2) utilization and integration of sensory information from various sensors (tactile, force, and vision) to acquire knowledge in a changing environment, 3) exploitation of inherent robotic parallel algorithms and efficient VLSI architectures for robotic computations, and finally 4) system integration into a working and functioning robotic system. This is the intent of the Workshop on Sensor-Based Robots: Algorithms and Architectures - to study the fundamental research issues and problems associated with sensor-based robot manipulators and to propose approaches and solutions from various viewpoints in improving present day robot manipula tors in the areas of sensor fusion and integration, sensory information processing, and parallel algorithms and architectures for robotic computations.

Download or read book Modelling and Planning for Sensor Based Intelligent Robot Systems written by H Bunke and published by World Scientific. This book was released on 1995-10-24 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited and reviewed volume consists of papers that were originally presented at a workshop in the Scientific Center at Schloss Dagstuhl, Germany. It gives an overview of the field and presents the latest developments in the areas of modeling and planning for sensor based robots. The particular topics addressed include active vision, sensor fusion, environment modeling, motion planning, robot navigation, distributed control architectures, reactive behavior, and others. Contents:Dynamic Environmental Modeling by the C-Tree (K Verbarg & H Noltemeier)Competitive Strategies for Autonomous Systems (C Icking & R Kelin)Boundary Extraction for Rasterized Motion Planning (H Mueller)Collision Detection: A Geometric Approach (P Jimenez & C Torras)Planning with Uncertainty of Vision (Y Shirai)Applications of Fractal Image Encoding (P Levi et al.)Model-Based Multisensory Robot Vision (H Bunke et al.)Local Environment Modeling Through Integrated Stereo & Motion Analysis (R C Bolles et al.)Localisation, Environmental Modelling and Path Planning for Autonomous Mobile Robot Navigation (R Jarvis)Hierarchical Control for Navigation Using Heterogeneous Models (P Pirjanian & H I Christensen)PRIAMOS: An Advanced Moblie System for Service, Inspection, and Surveillance Tasks (R Dillmann et al.)A Distributed Control Architecture for Autonomous Robot Systems (T Laengle et al.)Bio-Based Control for Intelligent Autonomous Systems (T C Henderson & A A Efros)Image-Guided Robotic Radiosurgery (J R Adler et al.)A Nonlinear Circuit Theory for Physically Understanding Dextrous Robot (Human) Motions (S Arimoto)and other papers Readership: Researchers in computer science, robotics, applied mathematics & engineering and electronics. keywords:Path Planning;Motion Planning;Navigation;Localization;Pose Tracking;Vision;Shape Recognition;Object Recognition;Distributed Systems;Multiple Robot Interaction;Human Robot Interaction;Telerobotics

Download or read book Robotics Computer Vision and Intelligent Systems written by Péter Galambos and published by Springer Nature. This book was released on 2022-11-09 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the papers of two workshops which were held in conjunctionwith the First International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2020, Virtual Event, in November 4-6, 2020 and Second International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2021, Virtual Event, in October 25-27, 2021. The 11 revised full papers presented in this book were carefully reviewed and selectedfrom 53 submissions.

Download or read book Measurements and Instrumentation for Machine Vision written by Oleg Sergiyenko and published by CRC Press. This book was released on 2024-06-26 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive reference book that addresses the field of machine vision and its significance in cyber-physical systems. It explores the multidisciplinary nature of machine vision, involving electronic and mechatronic devices, artificial intelligence algorithms, embedded systems, control systems, robotics, interconnectivity, data science, and cloud computing. The book aims to provide advanced students, early career researchers, and established scholars with state-of-the-art knowledge and novel content related to the implementation of machine vision in engineering, scientific knowledge, and technological innovation. The chapters of the book delve into various topics and applications within the realm of machine vision. They cover areas such as camera and inertial measurement unit calibration, technical vision systems for human detection, design and evaluation of support systems using neural networks, UV sensing in contemporary applications, fiber Bragg grating arrays for medical diagnosis, color model creation for terrain recognition by robots, navigation systems for aircraft, object classification in infrared images, feature selection for vehicle/non-vehicle classification, visualization of sedimentation in extreme conditions, quality estimation of tea using machine vision, image dataset augmentation techniques, machine vision for astronomical images, agricultural automation, occlusion-aware disparity-based visual servoing, machine learning approaches for single-photon imaging, and augmented visual inertial wheel odometry. Each chapter is a result of expert research and collaboration, reviewed by peers and consulted by the book's editorial board. The authors provide in-depth reviews of the state of the art and present novel proposals, contributing to the development and futurist trends in the field of machine vision. "Measurements and Instrumentation for Machine Vision" serves as a valuable resource for researchers, students, and professionals seeking to explore and implement machine vision technologies in various domains, promoting sustainability, human-centered solutions, and global problem-solving.

Download or read book Machine Vision and Industrial Robotics in Manufacturing written by Alex Khang and published by CRC Press. This book was released on 2024-07-29 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the basics of machine vision and robotics in the manufacturing industry. Major applicability of intelligent machines and robotics in the manufacturing sector are explored in three major areas of product traceability, remote product-monitoring, supply chain, logistics, and product record management. Machine Vision and Industrial Robotics in Manufacturing: Approaches, Technologies, and Applications explains advanced technologies based on Artificial Intelligence and Industrial Internet of Things related to smart manufacturing applications. The book introduces the emerging machines and robotics applications that are enabling smart factories initiatives worldwide. The chapters examine labor productivity, factory device installation, and defective product detection. The authors share modern models, emerging technologies, designs, frameworks, theories, practices, and sustainable approaches to design and implement machine vision with industrial robotics. They also examine the challenging issues associated with the leveraging of technologies related to machine vision, computer vision, robotics, Internet of Things, Industrial Internet of Things technologies, Artificial Intelligence-equipped machines, applications, and automatic techniques for intelligent manufacturing systems and smart factory infrastructure in the era of Industry 4.0 manufacturing. The authors also examine topics such as the role of existing management and production solutions, their limitations, and future directions in manufacturing industry. This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of machine vision, Artificial Intelligence, Industrial Internet of Things, computer vision, and robotic technologies from different industries and economics.

Download or read book Unifying Perspectives in Computational and Robot Vision written by Danica Kragic and published by Springer Science & Business Media. This book was released on 2008-06-06 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assembled in this volume is a collection of some of the state-of-the-art methods that are using computer vision and machine learning techniques as applied in robotic applications. Currently there is a gap between research conducted in the computer vision and robotics communities. This volume discusses contrasting viewpoints of computer vision vs. robotics, and provides current and future challenges discussed from a research perspective.