Multiple Vie

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Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision Pdf/ePub eBook Author:
Editor: Cambridge University Press
ISBN:
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Multiple View Geometry in Computer Vision by Summary

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.

Multi View Geometry Based Visual Perception and Control of Robotic Systems

Multi View Geometry Based Visual Perception and Control of Robotic Systems Pdf/ePub eBook Author: Jian Chen
Editor: CRC Press
ISBN: HARVARD
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Multi View Geometry Based Visual Perception and Control of Robotic Systems by Jian Chen Summary

This book describes visual perception and control methods for robotic systems that need to interact with the environment. Multiple view geometry is utilized to extract low-dimensional geometric information from abundant and high-dimensional image information, making it convenient to develop general solutions for robot perception and control tasks. In this book, multiple view geometry is used for geometric modeling and scaled pose estimation. Then Lyapunov methods are applied to design stabilizing control laws in the presence of model uncertainties and multiple constraints.

Efficient and scalable graph view maintenance for deductive graph databases based on generalized discrimination networks

Efficient and scalable graph view maintenance for deductive graph databases based on generalized discrimination networks Pdf/ePub eBook Author: Beyhl, Thomas
Editor: Universitätsverlag Potsdam
ISBN: 9780429951237
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Efficient and scalable graph view maintenance for deductive graph databases based on generalized discrimination networks by Beyhl, Thomas Summary

Graph databases provide a natural way of storing and querying graph data. In contrast to relational databases, queries over graph databases enable to refer directly to the graph structure of such graph data. For example, graph pattern matching can be employed to formulate queries over graph data. However, as for relational databases running complex queries can be very time-consuming and ruin the interactivity with the database. One possible approach to deal with this performance issue is to employ database views that consist of pre-computed answers to common and often stated queries. But to ensure that database views yield consistent query results in comparison with the data from which they are derived, these database views must be updated before queries make use of these database views. Such a maintenance of database views must be performed efficiently, otherwise the effort to create and maintain views may not pay off in comparison to processing the queries directly on the data from which the database views are derived. At the time of writing, graph databases do not support database views and are limited to graph indexes that index nodes and edges of the graph data for fast query evaluation, but do not enable to maintain pre-computed answers of complex queries over graph data. Moreover, the maintenance of database views in graph databases becomes even more challenging when negation and recursion have to be supported as in deductive relational databases. In this technical report, we present an approach for the efficient and scalable incremental graph view maintenance for deductive graph databases. The main concept of our approach is a generalized discrimination network that enables to model nested graph conditions including negative application conditions and recursion, which specify the content of graph views derived from graph data stored by graph databases. The discrimination network enables to automatically derive generic maintenance rules using graph transforma

Neural Computing for Advanced Applications

Neural Computing for Advanced Applications Pdf/ePub eBook Author: Haijun Zhang
Editor: Springer Nature
ISBN: 9783869563398
FileSize: 1542kb
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Neural Computing for Advanced Applications by Haijun Zhang Summary

This book presents refereed proceedings of the First International Conference on Neural Computing for Advanced Applications, NCAA 2020, held in July, 2020. Due to the COVID-19 pandemic the conference was held online. The 36 full papers and 7 short papers were thorougly reviewed and selected from a total of 113 qualified submissions. The papers present resent research on such topics as neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, and natural language processing, machine translation, knowledge graphs, and their applications.

Pro ASP NET 2 0 in C 2005 Special Edition

Pro ASP NET 2 0 in C 2005 Special Edition Pdf/ePub eBook Author: Mario Szpuszta
Editor: Apress
ISBN: UCAL
FileSize: 1905kb
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Pro ASP NET 2 0 in C 2005 Special Edition by Mario Szpuszta Summary

ASP.NET 2.0 is Microsoft’s premier technology for creating dynamic websites, and C# 2005 its preferred language. Development and innovation in this sector has continued at a rapid pace with the "Web 2.0" technologies of Ajax and Microsoft "Atlas" both becoming available since the .NET 2.0 launch. This special edition of Pro ASP.NET 2.0 in C# 2005 includes new chapters explaining how to use important new technologies. Beyond the book’s already extensive coverage, readers will learn to create Ajax and Atlas applications in ASP.NET 2.0, and will appreciate its deeper coverage of ASP.NET 2.0 Performance Tuning.

Pro ASP NET 2 0 in C 2005

Pro ASP NET 2 0 in C 2005 Pdf/ePub eBook Author: Mario Szpuszta
Editor: Apress
ISBN: 1430202327
FileSize: 782kb
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Pro ASP NET 2 0 in C 2005 by Mario Szpuszta Summary

This book is the third edition of Matthew MacDonald and Mario Szpuszta’s well regarded title. It has been comprehensively updated to provide detailed coverage of all.NET 3.5’s new features within the same framework and writing style that made the previous editions so successful. It is one of the first books to provide complete coverage of all the new ASP.NET 3.5 features together with a detailed explanation of their usage. Written by the same proven two-author team as the previous editions of this book, it has the same quality of content and explanation and shows how to use the latest cutting-edge features of ASP.NET 3.5.

Digital Mammography

Digital Mammography Pdf/ePub eBook Author: Elizabeth Krupinski
Editor: Springer Science & Business Media
ISBN: 1430200642
FileSize: 1828kb
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Digital Mammography by Elizabeth Krupinski Summary

This volume (5116) of Springer’s Lecture Notes in Computer Science contains the th proceedings of the 9 International Workshop on Digital Mammography (IWDM) which was held July 20 – 23, 2008 in Tucson, AZ in the USA. The IWDM meetings traditionally bring together a diverse set of researchers (physicists, mathematicians, computer scientists, engineers), clinicians (radiologists, surgeons) and representatives of industry, who are jointly committed to developing technologies to support clinicians in the early detection and subsequent patient management of breast cancer. The IWDM conference series was initiated at a 1993 meeting of the SPIE Medical Imaging Symposium in San Jose, CA, with subsequent meetings hosted every two years at sites around the world. Previous meetings were held in York, England; Chicago, IL USA; Nijmegen, Netherlands; Toronto, Canada; Bremen, Germany; Durham, NC USA and Manchester, UK. th The 9 IWDM meeting was attended by a very international group of participants, and during the two and one-half days of scientific sessions there were 70 oral presentations, 34 posters and 3 keynote addresses. The three keynote speakers discussed some of the “hot” topics in breast imaging today. Karen Lindfors spoke on “Dedicated Breast CT: Initial Clinical Experiences. ” Elizabeth Rafferty asked the question is “Breast Tomosynthesis: Ready for Prime Time?” Finally, Martin Tornai discussed “3D Multi-Modality Molecular Breast Imaging.

View Dependent Character Animation

View Dependent Character Animation Pdf/ePub eBook Author: Parag Chaudhuri
Editor: Springer Science & Business Media
ISBN: 9783540705376
FileSize: 1902kb
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View Dependent Character Animation by Parag Chaudhuri Summary

Creating moving camera character animations in 3D is a multi-faceted computer graphics and computer vision problem that requires a formal representation of the moving camera, and efficient algorithms to help author manage and render the multitude of character poses required for the animation. This well-researched book introduces view-dependent character animation, covering all the relevant background work. Numerous example animations are offered to explain and illustrate this versatile technique.

Learning Representation for Multi View Data Analysis

Learning Representation for Multi View Data Analysis Pdf/ePub eBook Author: Zhengming Ding
Editor: Springer
ISBN: CORNELL
FileSize: 1178kb
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Learning Representation for Multi View Data Analysis by Zhengming Ding Summary

This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal. A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.

3D Structure from Multiple Images of Large Scale Environments

3D Structure from Multiple Images of Large Scale Environments Pdf/ePub eBook Author: Reinhard Koch
Editor: Springer
ISBN: 9783030007348
FileSize: 587kb
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3D Structure from Multiple Images of Large Scale Environments by Reinhard Koch Summary

This book constitutes the strictly refereed post-workshop proceedings of the European Workshop on 3D Structure from Multiple Images of Large-Scale Environments, SMILE'98, held in conjunction with ECCV'98 in Freiburg, Germany, in June 1998. The 21 revised full papers presented went through two cycles of reviewing and were carefully selected for inclusion in the book. The papers are organized in sections on multiview relations and correspondence search, 3D structure from multiple images, callibration and reconstruction using scene constraints, range integration and augmented reality application.

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing Pdf/ePub eBook Author: Leszek Rutkowski
Editor: Springer
ISBN: 9783540494379
FileSize: 1765kb
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Artificial Intelligence and Soft Computing by Leszek Rutkowski Summary

The two-volume set LNAI 7267 and 7268 (together with LNCS 7269 ) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/ May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.

Pro ASP NET 4 in C 2010

Pro ASP NET 4 in C 2010 Pdf/ePub eBook Author: Matthew MacDonald
Editor: Apress
ISBN: 9783642293504
FileSize: 1075kb
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Pro ASP NET 4 in C 2010 by Matthew MacDonald Summary

ASP.NET 4 is the principal standard for creating dynamic web pages on the Windows platform. Pro ASP.NET 4 in C# 2010 raises the bar for high-quality, practical advice on learning and deploying Microsoft's dynamic web solution. This edition is updated with everything you need to master up to version 4 of ASP.NET, including coverage of ASP.NET MVC, ASP.NET AJAX 4, ASP.NET Dynamic Data, and Silverlight 3. Seasoned .NET professionals Matthew MacDonald and Mario Szpuszta explain how you can get the most from these groundbreaking technologies. They cover ASP.NET 4 as a whole, illustrating both the newer features and the functionality carried over from previous versions of ASP. This book will give you the knowledge you need to code real ASP.NET 4 applications in the best possible style.

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