- Table View
- List View
Computer Vision, Imaging and Computer Graphics – Theory and Applications: 12th International Joint Conference, VISIGRAPP 2017, Porto, Portugal, February 27 – March 1, 2017, Revised Selected Papers (Communications in Computer and Information Science #983)
by Ana Paula Cláudio Dominique Bechmann Paul Richard Takehiko Yamaguchi Lars Linsen Alexandru Telea Francisco Imai Alain TremeauThis book constitutes thoroughly revised and selected papers from the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017, held in Porto, Portugal, February 27 - March 1, 2017. The 18 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 402 submissions. The papers contribute to the understanding of relevant trends of current research on image and video formation, preprocessing, analysis and understanding; motion, tracking and stereo vision; computer graphics and rendering; data visualization and interactive visual data analysis; agent-based human-robot interactions; and user experience.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6–8, 2022, Revised Selected Papers (Communications in Computer and Information Science #1815)
by A. Augusto de Sousa Kurt Debattista Alexis Paljic Mounia Ziat Christophe Hurter Helen Purchase Giovanni Maria Farinella Petia Radeva Kadi BouatouchThis book constitutes the referred proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Virtual Event, February 6–8, 2022. The 15 full papers included in this book were carefully reviewed and selected from 392 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 16th International Joint Conference, Visigrapp 2021, Vienna, Austria, February 8-10, 2021, Revised Selected Papers (Communications In Computer And Information Science Series #1691)
by A. Augusto de Sousa Vlastimil Havran Alexis Paljic Tabitha Peck Christophe Hurter Helen Purchase Giovanni Maria Farinella Petia Radeva Kadi Bouatouch<p>This book constitutes the refereed proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, held as a virtual event, February 8–10, 2021.<p> <p>The 16 full papers presented in this volume were carefully reviewed and selected from 371 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP.<p> <p>The contributions were organized in topical sections as follows: Computer Graphics Theory and Applications; Human Computer Interaction Theory and Applications; Information Visualization Theory and Applications; Computer Vision Theory and Applications.<p>
Computer Vision, Imaging and Computer Graphics Theory and Applications: 10th International Joint Conference, VISIGRAPP 2015, Berlin, Germany, March 11-14, 2015, Revised Selected Papers (Communications in Computer and Information Science #598)
by Sebastiano Battiato Julien Pettré Andreas Kerren José Braz Lars Linsen Paul Richard Francisco ImaiThis bookconstitutes thoroughly revised and selected papers from the 10thInternational Joint Conference on Computer Vision, Imaging and ComputerGraphics Theory and Applications, VISIGRAPP 2015, held in Berlin, Germany, inMarch 2015. VISIGRAPP comprises GRAPP, International Conference on ComputerGraphics Theory and Applications; IVAPP, International Conference onInformation Visualization Theory and Applications; and VISAPP, InternationalConference on Computer Vision Theory and Applications. The 23 thoroughly revised and extended papers presented in this volume werecarefully reviewed and selected from 529 submissions. The book also containsone invited talk in full-paper length. The regular papers were organized intopical sections named: computer graphics theory and applications; informationvisualization theory and applications; and computer vision theory andapplications.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 13th International Joint Conference, VISIGRAPP 2018 Funchal–Madeira, Portugal, January 27–29, 2018, Revised Selected Papers (Communications in Computer and Information Science #997)
by Dominique Bechmann Manuela Chessa Ana Paula Cláudio Francisco Imai Andreas Kerren Paul Richard Alexandru Telea Alain TremeauThis book constitutes thoroughly revised and selected papers from the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018, held in Funchal-Madeira, Portugal, in January 2018. The 18 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 317 submissions. The papers contribute to the understanding of relevant trends of current research on computer graphics; human computer interaction; information visualization; computer vision.
Computer Vision, Imaging and Computer Graphics - Theory and Applications: International Joint Conference, Visigrapp 2014, Lisbon Portugal, January 5-8, 2014, Revised Selected Papers (Communications In Computer And Information Science #550)
by Sabine Coquillart Sebastiano Battiato Julien Pettré Robert S. Laramee Andreas Kerren José BrazThis book constitutes the refereed proceedings of the International Conference, VISIGRAPP 2014, consisting of the Joint Conferences on Computer Vision (VISAPP), the International Conference on Computer Graphics, GRAPP 2014 and the International Conference on Information Visualization, IVAPP 2014, held in Lisbon, Portugal, in January 2014. The 22 revised full papers presented were carefully reviewed and selected from 543 submissions. The papers are organized in topical sections on computer graphics theory and applications; information visualization - theory and applications; computer vision theory and applications.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 14th International Joint Conference, VISIGRAPP 2019, Prague, Czech Republic, February 25–27, 2019, Revised Selected Papers (Communications in Computer and Information Science #1182)
by Giovanni Maria Farinella Andreas Kerren Christophe Hurter Ana Paula Cláudio Alain Tremeau Manuela Chessa Kadi Bouatouch Alexis PaljicThis book constitutes thoroughly revised and selected papers from the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, held in Prague, Czech Republic, in February 2019. The 25 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 395 submissions. The papers contribute to the understanding of relevant trends of current research on computer graphics; human computer interaction; information visualization; computer vision.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 – 29, 2016, Revised Selected Papers (Communications in Computer and Information Science #693)
by Nadia Magnenat-Thalmann Sebastiano Battiato José Braz Lars Linsen Paul Richard Francisco Imai Alexandru TeleaThis book constitutes the refereed proceedings of the International Conference, VISIGRAPP 2010, the Joint Conference on Computer Vision Theory and Applications (VISAPP), on Imaging Theory and Applications (IMAGAPP), and on Computer Graphics Theory and Applications (GRAPP), held in Angers, France, in May 2010. The 19 revised full papers presented together with two invited papers were carefully reviewed and selected. The papers are organized in topical sections on computer vision theory and applications; imaging theory and applications; computer graphics theory and applications; and information visualization theory and applications.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 15th International Joint Conference, VISIGRAPP 2020 Valletta, Malta, February 27–29, 2020, Revised Selected Papers (Communications in Computer and Information Science #1474)
by Petia Radeva Giovanni Maria Farinella Andreas Kerren Christophe Hurter Manuela Chessa Kadi Bouatouch Alexis Paljic A. Augusto de Sousa Jose BrazThis book constitutes thoroughly revised and selected papers from the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, held in Valletta, Malta, in February 2020.The 25 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 455 submissions. The papers contribute to the understanding of relevant trends of current research on computer graphics; human computer interaction; information visualization; computer vision.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics, VISIGRAPP 2023, Lisbon, Portugal, February 19–21, 2023, Revised Selected Papers (Communications in Computer and Information Science #2103)
by Petia Radeva Giovanni Maria Farinella Helen Purchase Christophe Hurter Kadi Bouatouch Alexis Paljic A. Augusto de Sousa Mounia Ziat Thomas Bashford-RogersThis book constitutes the refereed post-conference proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, held in Lisbon, Portugal, during February 19–21, 2023. The 17 revised full papers presented were carefully selected from 395 submissions. VISIGRAPP aims to bring together researchers and practitioners interested in theoretical advances and applications of computer vision, information visualization, computer graphics and interaction.
Computer Vision in Advanced Control Systems-5: Advanced Decisions in Technical and Medical Applications (Intelligent Systems Reference Library #175)
by Margarita N. Favorskaya Lakhmi C. JainThis book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students, academics, researchers, and software developers working in the areas of digital video processing and computer vision technologies.
Computer Vision in Control Systems-1: Innovations in Practice (Intelligent Systems Reference Library #75)
by Lakhmi C. Jain Margarita N. FavorskayaThis book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: · Morphological Image Analysis for Computer Vision Applications. · Methods for Detecting of Structural Changes in Computer Vision Systems. · Hierarchical Adaptive KL-based Transform: Algorithms and Applications. · Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores. · A Way of Energy Analysis for Image and Video Sequence Processing. · Optimal Measurement of Visual Motion Across Spatial and Temporal Scales. · Scene Analysis Using Morphological Mathematics and Fuzzy Logic. · Digital Video Stabilization in Static and Dynamic Scenes. · Implementation of Hadamard Matrices for Image Processing. · A Generalized Criterion of Efficiency for Telecommunication Systems. The book is directed to PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.
Computer Vision in Control Systems-3: Aerial and Satellite Image Processing (Intelligent Systems Reference Library #135)
by Lakhmi C. Jain Margarita N. FavorskayaThe research book is a continuation of the authors' previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The book gathers selected contributions addressing aerial and satellite image processing and related fields. Topics covered include novel tensor and wave models, a new comparative morphology scheme, warping compensation in video stabilization, image deblurring based on physical processes of blur impacts, and a rapid and robust core structural verification algorithm for feature extraction in images and videos, among others. All chapters focus on practical implementations. Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, this book offers a timely guide.
Computer Vision in Control Systems-4: Real Life Applications (Intelligent Systems Reference Library #136)
by Lakhmi C. Jain Margarita N. FavorskayaThe research book is a continuation of the authors' previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile robots, analysis of indoor human activity, facial image quality assessment, android device controlling, processing medical images, clinical decision-making and foot progression angle detection. Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, the book offers a timely guide for all PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.
Computer Vision in Control Systems—6: Advances in Practical Applications (Intelligent Systems Reference Library #182)
by Lakhmi C. Jain Margarita N. FavorskayaThis book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and edical image processing and analysis.The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.
Computer Vision in Sports (Advances in Computer Vision and Pattern Recognition)
by Graham Thomas Thomas B. Moeslund Adrian HiltonThe first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports. Opening with a detailed introduction to the use of computer vision across the entire life-cycle of a sports event, the text then progresses to examine cutting-edge techniques for tracking the ball, obtaining the whereabouts and pose of the players, and identifying the sport being played from video footage. The work concludes by investigating a selection of systems for the automatic analysis and classification of sports play. The insights provided by this pioneering collection will be of great interest to researchers and practitioners involved in computer vision, sports analysis and media production.
Computer Vision in Vehicle Technology: Land, Sea, and Air
by Antonio M. López Atsushi Imiya Tomas Pajdla Jose M. ÁlvarezA unified view of the use of computer vision technology for different types of vehicles Computer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape classification and mapping, fire risk assessment). The overall role of computer vision for the navigation of different vehicles, as well as technology to address on-board applications, is analysed. Key features: Presents the latest advances in the field of computer vision and vehicle technologies in a highly informative and understandable way, including the basic mathematics for each problem. Provides a comprehensive summary of the state of the art computer vision techniques in vehicles from the navigation and the addressable applications points of view. Offers a detailed description of the open challenges and business opportunities for the immediate future in the field of vision based vehicle technologies. This is essential reading for computer vision researchers, as well as engineers working in vehicle technologies, and students of computer vision.
Computer Vision & Laser Vibrometry, Volume 6: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023 (Conference Proceedings of the Society for Experimental Mechanics Series)
by Javad Baqersad Dario Di MaioComputer Vision & Laser Vibrometry, Volume 6: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the sixth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Computer Vision, Laser Vibrometry and Structural Health Monitoring, including papers on:Novel TechniquesOptical Methods,Scanning LDV MethodsPhotogrammetry & DICStructural Health Monitoring
Computer Vision Metrics: Textbook Edition
by Scott KrigBased on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods. With over 800 essential references, as well as chapter-by-chapter learning assignments, both students and researchers can dig deeper into core computer vision topics. The survey covers everything from feature descriptors, regional and global feature metrics, feature learning architectures, deep learning, neuroscience of vision, neural networks, and detailed example architectures to illustrate computer vision hardware and software optimization methods. To complement the survey, the textbook includes useful analyses which provide insight into the goals of various methods, why they work, and how they may be optimized. The text delivers an essential survey and a valuable taxonomy, thus providing a key learning tool for students, researchers and engineers, to supplement the many effective hands-on resources and open source projects, such as OpenCVand other imaging and deep learning tools.
Computer Vision Metrics: Survey, Taxonomy, and Analysis
by Scott KrigBased on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods. With over 800 essential references, as well as chapter-by-chapter learning assignments, both students and researchers can dig deeper into core computer vision topics. The survey covers everything from feature descriptors, regional and global feature metrics, feature learning architectures, deep learning, neuroscience of vision, neural networks, and detailed example architectures to illustrate computer vision hardware and software optimization methods. To complement the survey, the textbook includes useful analyses which provide insight into the goals of various methods, why they work, and how they may be optimized. The text delivers an essential survey and a valuable taxonomy, thus providing a key learning tool for students, researchers and engineers, to supplement the many effective hands-on resources and open source projects, such as OpenCVand other imaging and deep learning tools.
Computer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
by Lauren Mullennex Nate Bachmeier Jay RaoDevelop scalable computer vision solutions for real-world business problems and discover scaling, cost reduction, security, and bias mitigation best practices with AWS AI/ML servicesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to quickly deploy and automate end-to-end CV pipelines on AWSImplement design principles to mitigate bias and scale production of CV workloadsWork with code examples to master CV concepts using AWS AI/ML servicesBook DescriptionComputer vision (CV) is a field of artificial intelligence that helps transform visual data into actionable insights to solve a wide range of business challenges. This book provides prescriptive guidance to anyone looking to learn how to approach CV problems for quickly building and deploying production-ready models.You'll begin by exploring the applications of CV and the features of Amazon Rekognition and Amazon Lookout for Vision. The book will then walk you through real-world use cases such as identity verification, real-time video analysis, content moderation, and detecting manufacturing defects that'll enable you to understand how to implement AWS AI/ML services. As you make progress, you'll also use Amazon SageMaker for data annotation, training, and deploying CV models. In the concluding chapters, you'll work with practical code examples, and discover best practices and design principles for scaling, reducing cost, improving the security posture, and mitigating bias of CV workloads.By the end of this AWS book, you'll be able to accelerate your business outcomes by building and implementing CV into your production environments with the help of AWS AI/ML services.What you will learnApply CV across industries, including e-commerce, logistics, and mediaBuild custom image classifiers with Amazon Rekognition Custom LabelsCreate automated end-to-end CV workflows on AWSDetect product defects on edge devices using Amazon Lookout for VisionBuild, deploy, and monitor CV models using Amazon SageMakerDiscover best practices for designing and evaluating CV workloadsDevelop an AI governance strategy across the entire machine learning life cycleWho this book is forIf you are a machine learning engineer or data scientist looking to discover best practices and learn how to build comprehensive CV solutions on AWS, this book is for you. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.
Computer Vision, Pattern Recognition, Image Processing, and Graphics: 7th National Conference, NCVPRIPG 2019, Hubballi, India, December 22–24, 2019, Revised Selected Papers (Communications in Computer and Information Science #1249)
by R. Venkatesh Babu Mahadeva Prasanna Vinay P. NamboodiriThis book constitutes the refereed proceedings of the 7th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2019, held in Hubballi, India, in December 2019.The 55 revised full papers 3 short papers presented in this volume were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on vision and geometry, learning and vision, image processing and document analysis, detection and recognition.
Computer Vision, Pattern Recognition, Image Processing, and Graphics: 6th National Conference, Ncvpripg 2017, Mandi, India, December 16-19, 2017, Revised Selected Papers (Communications In Computer And Information Science #841)
by Renu Rameshan Chetan Arora Sumantra Dutta RoyThis book constitutes the refereed proceedings of the 6th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2017, held in Mandi, India, in December 2017. The 48 revised full papers presented in this volume were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on video processing; image and signal processing; segmentation, retrieval, captioning; pattern recognition applications.
Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
by Matthew ReverGain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos Key Features Implement image classification and object detection using machine learning and deep learning Perform image classification, object detection, image segmentation, and other Computer Vision tasks Crisp content with a practical approach to solving real-world problems in Computer Vision Book Description Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems. With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google's Tesseract software, and tracking human body poses using DeeperCut within TensorFlow. By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries. What you will learn Install and run major Computer Vision packages within Python Apply powerful support vector machines for simple digit classification Understand deep learning with TensorFlow Build a deep learning classifier for general images Use LSTMs for automated image captioning Read text from real-world images Extract human pose data from images Who this book is for Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.
Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models
by Akshay Kulkarni Adarsha Shivananda Nitin Ranjan SharmaDesign and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of the PyTorch libraries used in the book. After that, it takes you through the implementation of image classification problems, object detection techniques, and transfer learning while training and running inference. The book covers image segmentation and an anomaly detection model. And it discusses the fundamentals of video processing for computer vision tasks putting images into videos. The book concludes with an explanation of the complete model building process for deep learning frameworks using optimized techniques with highlights on model AI explainability.After reading this book, you will be able to build your own computer vision projects using transfer learning and PyTorch.What You Will LearnSolve problems in computer vision with PyTorch.Implement transfer learning and perform image classification, object detection, image segmentation, and other computer vision applicationsDesign and develop production-grade computer vision projects for real-world industry problemsInterpret computer vision models and solve business problemsWho This Book Is ForData scientists and machine learning engineers interested in building computer vision projects and solving business problems