Infrastructure Computer Vision PDF Download
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Author | : Ioannis Brilakis |
Publisher | : Butterworth-Heinemann |
Total Pages | : 408 |
Release | : 2019-11-28 |
Genre | : Technology & Engineering |
ISBN | : 0128172584 |
Download Infrastructure Computer Vision Book in PDF, ePub and Kindle
Infrastructure Computer Vision delves into this field of computer science that works on enabling computers to see, identify, process images and provide appropriate output in the same way that human vision does. However, implementing these advanced information and sensing technologies is difficult for many engineers. This book provides civil engineers with the technical detail of this advanced technology and how to apply it to their individual projects. Explains how to best capture raw geometrical and visual data from infrastructure scenes and assess their quality Offers valuable insights on how to convert the raw data into actionable information and knowledge stored in Digital Twins Bridges the gap between the theoretical aspects and real-life applications of computer vision
Author | : Xinhai Lu |
Publisher | : Springer Nature |
Total Pages | : 1524 |
Release | : 2021-10-11 |
Genre | : Business & Economics |
ISBN | : 9811635870 |
Download Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate Book in PDF, ePub and Kindle
This proceedings book focuses on innovation, cooperation, and sustainable development in the fields of construction management and real estate. The book provides a detailed analysis and description of the disciplinary frontiers in the field of building management and real estate and how they can be promoted in the context of the epidemic. A wide variety of papers provide a reference value for both scholars and practitioners. The proceedings book is the documentation of “the 25th International Symposium on Advancement of Construction Management and Real Estate” (CRIOCM 2020), which was held at the School of Public Administration, Central China Normal University, Wuhan, China, in 2020.
Author | : Manas Kamal Bhuyan |
Publisher | : CRC Press |
Total Pages | : 442 |
Release | : 2019-11-05 |
Genre | : Computers |
ISBN | : 1351248383 |
Download Computer Vision and Image Processing Book in PDF, ePub and Kindle
The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching course on computer vision, the book takes a problem-solving approach.
Author | : Fouad Sabry |
Publisher | : One Billion Knowledgeable |
Total Pages | : 123 |
Release | : 2024-05-04 |
Genre | : Computers |
ISBN | : |
Download Vehicle Infrastructure Integration Book in PDF, ePub and Kindle
What is Vehicle Infrastructure Integration Vehicle infrastructure integration (VII) is an initiative fostering research and application development for a series of technologies directly linking road vehicles to their physical surroundings, first and foremost to improve road safety. The technology draws on several disciplines, including transport engineering, electrical engineering, automotive engineering, and computer science. VII specifically covers road transport, although similar technologies are in place or under development for other modes of transport. Planes, for example, use ground-based beacons for automated guidance, allowing the autopilot to fly the plane without human intervention. In highway engineering, improving the safety of a roadway can enhance overall efficiency. VII targets to improve both safety and efficiency. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Vehicle Infrastructure Integration Chapter 2: Intelligent Transportation System Chapter 3: Dedicated Short-Range Communications Chapter 4: Vehicular Communication Systems Chapter 5: Vehicular Ad Hoc Network Chapter 6: Research and Innovative Technology Administration Chapter 7: Connected Car Chapter 8: Intelligent Speed Assistance Chapter 9: GNSS Road Pricing Chapter 10: Safety of Cycling Infrastructure (II) Answering the public top questions about vehicle infrastructure integration. (III) Real world examples for the usage of vehicle infrastructure integration in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Vehicle Infrastructure Integration.
Author | : Shamshad Ansari |
Publisher | : Apress |
Total Pages | : 451 |
Release | : 2020-07-17 |
Genre | : Computers |
ISBN | : 9781484258866 |
Download Building Computer Vision Applications Using Artificial Neural Networks Book in PDF, ePub and Kindle
Apply computer vision and machine learning concepts in developing business and industrial applications using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code examples. Section 1 covers the basics of image and video processing with code examples of how to manipulate and extract useful information from the images. You will mainly use OpenCV with Python to work with examples in this section. Section 2 describes machine learning and neural network concepts as applied to computer vision. You will learn different algorithms of the neural network, such as convolutional neural network (CNN), region-based convolutional neural network (R-CNN), and YOLO. In this section, you will also learn how to train, tune, and manage neural networks for computer vision. Section 3 provides step-by-step examples of developing business and industrial applications, such as facial recognition in video surveillance and surface defect detection in manufacturing. The final section is about training neural networks involving a large number of images on cloud infrastructure, such as Amazon AWS, Google Cloud Platform, and Microsoft Azure. It walks you through the process of training distributed neural networks for computer vision on GPU-based cloud infrastructure. By the time you finish reading Building Computer Vision Applications Using Artificial Neural Networks and working through the code examples, you will have developed some real-world use cases of computer vision with deep learning. What You Will Learn · Employ image processing, manipulation, and feature extraction techniques · Work with various deep learning algorithms for computer vision · Train, manage, and tune hyperparameters of CNNs and object detection models, such as R-CNN, SSD, and YOLO · Build neural network models using Keras and TensorFlow · Discover best practices when implementing computer vision applications in business and industry · Train distributed models on GPU-based cloud infrastructure Who This Book Is For Data scientists, analysts, and machine learning and software engineering professionals with Python programming knowledge.
Author | : Nicu Sebe |
Publisher | : Springer Science & Business Media |
Total Pages | : 253 |
Release | : 2005-10-04 |
Genre | : Computers |
ISBN | : 1402032757 |
Download Machine Learning in Computer Vision Book in PDF, ePub and Kindle
The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.
Author | : Antonio M. López |
Publisher | : John Wiley & Sons |
Total Pages | : 215 |
Release | : 2017-04-17 |
Genre | : Computers |
ISBN | : 1118868072 |
Download Computer Vision in Vehicle Technology Book in PDF, ePub and Kindle
A 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.
Author | : Chi Hau Chen |
Publisher | : World Scientific |
Total Pages | : 410 |
Release | : 2013-11-18 |
Genre | : Computers |
ISBN | : 9814460958 |
Download Computer Vision In Medical Imaging Book in PDF, ePub and Kindle
The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
Author | : 庄黎 |
Publisher | : |
Total Pages | : 135 |
Release | : 2020 |
Genre | : Electronic data processing |
ISBN | : |
Download Computer Vision Based Health Monitoring in Railway Infrastructure Book in PDF, ePub and Kindle
Author | : J. R. Parker |
Publisher | : John Wiley & Sons |
Total Pages | : 498 |
Release | : 2010-11-29 |
Genre | : Computers |
ISBN | : 1118021886 |
Download Algorithms for Image Processing and Computer Vision Book in PDF, ePub and Kindle
A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.