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Computer Vision

Computer Vision
Algorithms and Applications

by Richard Szeliski

  • Publisher : Springer Science & Business Media
  • Release : 2010-09-30
  • Pages : 812
  • ISBN : 9781848829350
  • Language : En, Es, Fr & De
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Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. 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; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. 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.

Computer Vision - ECCV 2008

Computer Vision - ECCV 2008
10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings

by David Forsyth,Philip Torr

  • Publisher : Springer Science & Business Media
  • Release : 2008-10-07
  • Pages : 891
  • ISBN : 3540886923
  • Language : En, Es, Fr & De
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The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.

Computer Vision Metrics

Computer Vision Metrics
Survey, Taxonomy, and Analysis

by Scott Krig

  • Publisher : Apress
  • Release : 2014-06-14
  • Pages : 508
  • ISBN : 1430259302
  • Language : En, Es, Fr & De
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Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to dig deeper. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more. Rather than providing ‘how-to’ source code examples and shortcuts, this book provides a counterpoint discussion to the many fine opencv community source code resources available for hands-on practitioners.

Computer Vision

Computer Vision
Principles, Algorithms, Applications, Learning

by E. R. Davies

  • Publisher : Academic Press
  • Release : 2017-11-15
  • Pages : 900
  • ISBN : 012809575X
  • Language : En, Es, Fr & De
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Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject. See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/ Three new chapters on Machine Learning emphasise the way the subject has been developing; Two chapters cover Basic Classification Concepts and Probabilistic Models; and the The third covers the principles of Deep Learning Networks and shows their impact on computer vision, reflected in a new chapter Face Detection and Recognition. A new chapter on Object Segmentation and Shape Models reflects the methodology of machine learning and gives practical demonstrations of its application. In-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics. Examples and applications—including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians—give the ‘ins and outs’ of developing real-world vision systems, showing the realities of practical implementation. Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples. The ‘recent developments’ sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject. Tailored programming examples—code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)

Signal Processing for Computer Vision

Signal Processing for Computer Vision
A Book

by Gösta H. Granlund,Hans Knutsson

  • Publisher : Springer Science & Business Media
  • Release : 1994-12-31
  • Pages : 437
  • ISBN : 9780792395300
  • Language : En, Es, Fr & De
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Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes within computer vision. These partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation. Signal Processing for Computer Vision is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing.

Computer Vision - ECCV 2004

Computer Vision - ECCV 2004
8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings

by Tomas Pajdla,Jiri Matas

  • Publisher : Springer
  • Release : 2004-05-10
  • Pages : 640
  • ISBN : 3540246703
  • Language : En, Es, Fr & De
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Welcome to the proceedings of the 8th European Conference on Computer - sion! Following a very successful ECCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations were introduced into the review process. First, the n- ber of program committee members was increased to reduce their review load. We managed to assign to program committee members no more than 12 papers. Second, we adopted a paper ranking system. Program committee members were asked to rank all the papers assigned to them, even those that were reviewed by additional reviewers. Third, we allowed authors to respond to the reviews consolidated in a discussion involving the area chair and the reviewers. Fourth, thereports,thereviews,andtheresponsesweremadeavailabletotheauthorsas well as to the program committee members. Our aim was to provide the authors with maximal feedback and to let the program committee members know how authors reacted to their reviews and how their reviews were or were not re?ected in the ?nal decision. Finally, we reduced the length of reviewed papers from 15 to 12 pages. ThepreparationofECCV2004wentsmoothlythankstothee?ortsofthe- ganizing committee, the area chairs, the program committee, and the reviewers. We are indebted to Anders Heyden, Mads Nielsen, and Henrik J. Nielsen for passing on ECCV traditions and to Dominique Asselineau from ENST/TSI who kindly provided his GestRFIA conference software. We thank Jan-Olof Eklundh and Andrew Zisserman for encouraging us to organize ECCV 2004 in Prague.

Computer Vision – ECCV 2020

Computer Vision – ECCV 2020
16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XV

by Andrea Vedaldi,Horst Bischof,Thomas Brox,Jan-Michael Frahm

  • Publisher : Springer Nature
  • Release : 2020-12-17
  • Pages : 795
  • ISBN : 3030585557
  • Language : En, Es, Fr & De
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The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Computer Vision – ECCV 2020 Workshops

Computer Vision – ECCV 2020 Workshops
Glasgow, UK, August 23–28, 2020, Proceedings, Part III

by Adrien Bartoli

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030670708
  • Language : En, Es, Fr & De
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Computer Vision and Applications

Computer Vision and Applications
A Guide for Students and Practitioners

by Bernd Jähne,Horst Haussecker

  • Publisher : Academic Press
  • Release : 2000
  • Pages : 679
  • ISBN : 0123797772
  • Language : En, Es, Fr & De
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CD-ROM contains: Searchable version of text with hyperlinks.

Computer Vision and Action Recognition

Computer Vision and Action Recognition
A Guide for Image Processing and Computer Vision Community for Action Understanding

by Md. Atiqur Rahman Ahad

  • Publisher : Springer Science & Business Media
  • Release : 2011-12-02
  • Pages : 211
  • ISBN : 9491216201
  • Language : En, Es, Fr & De
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Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. The field of action and activity representation and recognition is relatively old, yet not well-understood by the students and research community. Some important but common motion recognition problems are even now unsolved properly by the computer vision community. However, in the last decade, a number of good approaches are proposed and evaluated subsequently by many researchers. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance. This book will cover gap of information and materials on comprehensive outlook – through various strategies from the scratch to the state-of-the-art on computer vision regarding action recognition approaches. This book will target the students and researchers who have knowledge on image processing at a basic level and would like to explore more on this area and do research. The step by step methodologies will encourage one to move forward for a comprehensive knowledge on computer vision for recognizing various human actions.

Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision
A Book

by Richard Hartley,Andrew Zisserman

  • Publisher : Cambridge University Press
  • Release : 2003
  • Pages : 655
  • ISBN : 9780521540513
  • Language : En, Es, Fr & De
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How to reconstruct scenes from images using geometry and algebra, with applications to computer vision.

Eighth IEEE International Conference on Computer Vision

Eighth IEEE International Conference on Computer Vision
July 7-14, 2001, Vancouver, British Columbia, Canada

by IEEE Computer Society

  • Publisher : IEEE
  • Release : 2001
  • Pages : 1534
  • ISBN : 9780769511436
  • Language : En, Es, Fr & De
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This two-volume set contains the proceedings of the July 2001 conference on computer vision. The 205 papers discuss sensors and early vision, stereo and multiple views, segmentation and matching, learning in vision, shape representation and recovery, stereo and multiple views, segmentation and matching, object recognition, tracking, video analysis, reflectance, image databases, vision systems and texture, and demo overviews. There is no subject index. The included CD-ROM contains a full version of the proceedings. c. Book News Inc.

Infrastructure Computer Vision

Infrastructure Computer Vision
A Book

by Ioannis Brilakis,Carl Thomas Michael Haas

  • Publisher : Butterworth-Heinemann
  • Release : 2019-11-28
  • Pages : 408
  • ISBN : 0128172584
  • Language : En, Es, Fr & De
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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

Intelligent Robots and Computer Vision

Intelligent Robots and Computer Vision
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1991
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
Volume 2: From Image to Pattern

by Arcangelo Distante,Cosimo Distante

  • Publisher : Springer Nature
  • Release : 2020-05-30
  • Pages : 432
  • ISBN : 3030423743
  • Language : En, Es, Fr & De
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Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 2 (From Image to Pattern) examines image transforms, image restoration, and image segmentation. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Computer Vision

Computer Vision
Models, Learning, and Inference

by Simon J. D. Prince

  • Publisher : Cambridge University Press
  • Release : 2012-06-18
  • Pages : 580
  • ISBN : 1107011795
  • Language : En, Es, Fr & De
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A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Computer Vision for Visual Effects

Computer Vision for Visual Effects
A Book

by Richard J. Radke

  • Publisher : Cambridge University Press
  • Release : 2012-11-19
  • Pages : 405
  • ISBN : 0521766877
  • Language : En, Es, Fr & De
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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.

Geometric Modeling for Computer Vision

Geometric Modeling for Computer Vision
A Book

by Bruce Guenther Baumgart

  • Publisher : Unknown Publisher
  • Release : 1974
  • Pages : 272
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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The main contribution of this thesis is the development of a three dimensional geometric modeling system for application to computer vision. In computer vision geometric models provide a goal for descriptive image analysis, an origin for verification image synthesis, and a context for spatial problem solving. Some of the design ideas presented have been implemented in two programs named GEOMED and CRE; the programs are demonstrated in situations involving camera motion relative to a static world.

Programming Computer Vision with Python

Programming Computer Vision with Python
Tools and Algorithms for Analyzing Images

by Jan Solem

  • Publisher : "O'Reilly Media, Inc."
  • Release : 2012-06-19
  • Pages : 247
  • ISBN : 1449316549
  • Language : En, Es, Fr & De
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A guide to computer vision offers complete code samples with explanations and exercises, with information on such topics as object recognition, 3D reconstruction, stereo imaging, and augmented reality.

Computer Vision

Computer Vision
Detection, Recognition and Reconstruction

by Roberto Cipolla,Sebastiano Battiato,Giovanni Maria Farinella

  • Publisher : Springer Science & Business Media
  • Release : 2010-05-11
  • Pages : 375
  • ISBN : 3642128475
  • Language : En, Es, Fr & De
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Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the first two editions of the school on topics such as Recognition, Registration and Reconstruction. The chapters provide an in-depth overview of these challenging areas with key references to the existing literature.