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Structured Learning and Prediction in Computer Vision

Structured Learning and Prediction in Computer Vision
Author: Sebastian Nowozin
Publisher: Now Publishers Inc
Total Pages: 195
Release: 2011
Genre: Computers
ISBN: 1601984561

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Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.


Structured Computer Vision

Structured Computer Vision
Author: S Tanimoto
Publisher: Elsevier
Total Pages: 247
Release: 2014-08-05
Genre: Technology & Engineering
ISBN: 0323159265

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Structured Computer Vision


Computer Vision for Structural Dynamics and Health Monitoring

Computer Vision for Structural Dynamics and Health Monitoring
Author: Dongming Feng
Publisher: John Wiley & Sons
Total Pages: 260
Release: 2021-01-11
Genre: Science
ISBN: 1119566584

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Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring This book is the first to fill the gap between scientific research of computer vision and its practical applications for structural health monitoring (SHM). It provides a complete, state-of-the-art review of the collective experience that the SHM community has gained in recent years. It also extensively explores the potentials of the vision sensor as a fast and cost-effective tool for solving SHM problems based on both time and frequency domain analytics, broadening the application of emerging computer vision sensor technology in not only scientific research but also engineering practice. Computer Vision for Structural Dynamics and Health Monitoring presents fundamental knowledge, important issues, and practical techniques critical to successful development of vision-based sensors in detail, including robustness of template matching techniques for tracking targets; coordinate conversion methods for determining calibration factors to convert image pixel displacements to physical displacements; sensing by tracking artificial targets vs. natural targets; measurements in real time vs. by post-processing; and field measurement error sources and mitigation methods. The book also features a wide range of tests conducted in both controlled laboratory and complex field environments in order to evaluate the sensor accuracy and demonstrate the unique features and merits of computer vision-based structural displacement measurement. Offers comprehensive understanding of the principles and applications of computer vision for structural dynamics and health monitoring Helps broaden the application of the emerging computer vision sensor technology from scientific research to engineering practice such as field condition assessment of civil engineering structures and infrastructure systems Includes a wide range of laboratory and field testing examples, as well as practical techniques for field application Provides MATLAB code for most of the issues discussed including that of image processing, structural dynamics, and SHM applications Computer Vision for Structural Dynamics and Health Monitoring is ideal for graduate students, researchers, and practicing engineers who are interested in learning about this emerging sensor technology and advancing their applications in SHM and other engineering problems. It will also benefit those in civil and aerospace engineering, energy, and computer science.


Computer Vision for Visual Effects

Computer Vision for Visual Effects
Author: Richard J. Radke
Publisher: Cambridge University Press
Total Pages: 409
Release: 2013
Genre: Business & Economics
ISBN: 0521766877

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This book explores the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and television. It describes classical computer vision algorithms and recent developments, features more than 200 original images, and contains in-depth interviews with Hollywood visual effects artists that tie the mathematical concepts to real-world filmmaking.


Computer Vision

Computer Vision
Author: Simon J. D. Prince
Publisher: Cambridge University Press
Total Pages: 599
Release: 2012-06-18
Genre: Computers
ISBN: 1107011795

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A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.


Deep Structure, Singularities, and Computer Vision

Deep Structure, Singularities, and Computer Vision
Author: Ole Fogh Olsen
Publisher: Springer
Total Pages: 268
Release: 2005-12-04
Genre: Computers
ISBN: 3540320970

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This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Deep Structure, Singularities, and Computer Vision, DSSCV 2005, held in Maastricht, The Netherlands in June 2005. The 14 revised full papers and 8 revised poster papers presented were carefully reviewed and selected for inclusion in the book. They represent the current state-of-the-art in understanding the relation between structural, topological information represented by singularities and metric information of signals, shapes, images, and colors.


Active Computer Vision by Cooperative Focus and Stereo

Active Computer Vision by Cooperative Focus and Stereo
Author: Eric P. Krotkov
Publisher: Springer Science & Business Media
Total Pages: 166
Release: 2012-12-06
Genre: Computers
ISBN: 1461396638

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This book addresses an area of perception engineering which deals with constructive processes. A model of the environment is analyzed using the information acquired from mUltiple viewpoints of multiple disparate sensors at multiple time instants. Although the role of successive model building and active exploration of the environment, as is discussed in this book, is of great importance, only a few researchers of machine perception have thus far addressed the problem in these directions. Krotkov's book, which is a modification and continuation of his highly successful dissertation, focuses on active exploratory sensing in the context of spatial layout perception. He uses stereo and focus to obtain distance By information, and to eventually develop cooperative combining techniques. means of a stereo system with verging cameras, it is demonstrated that the distance measurements can be significantly improved by combining two sources. In addition, the problem of merging information from the multiple views is discussed in detail. As the field of perception engineering seems to be of growing scientific and applied importance, both practitioners and researchers in machine perception will find this book a valuable addition to their libraries. RameshJain Series Editor Acknowledgements I would like to thank Professor Ruzena Bajcsy for her constant encouragement and guidance during the five years of research leading to the dissertation upon which this book is based. Without her help in all matters, this work would never have been possible.


Computer Vision

Computer Vision
Author: Linda G. Shapiro
Publisher: Pearson
Total Pages: 628
Release: 2001
Genre: Biography & Autobiography
ISBN:

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For upper level courses in Computer Vision and Image Analysis.Provides necessary theory and examples for students and practitioners who will work in fields where significant information must be extracted automatically from images. Appropriate for those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing and computer cartography. The text provides a basic set of fundamental concepts and algorithms for analyzing images, and discusses some of the exciting evolving application areas of computer vision.


Computer Vision

Computer Vision
Author: Richard Szeliski
Publisher: Springer Nature
Total Pages: 925
Release: 2022-01-03
Genre: Computers
ISBN: 3030343723

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Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.