Computer Vision

Räumliche Information aus digitalen Bildern

Author: Reinhard Klette,Andreas Koschan,Karsten Schlüns

Publisher: Springer-Verlag

ISBN: 3663119998

Category: Technology & Engineering

Page: 382

View: 448

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Dieses Lehrbuch behandelt die Grundlagen, Algorithmen und Anwendungen eines Teilbereichs der digitalen Bildverarbeitung: die Szenenanalyse bzw. die 3D-Bildanalyse. Methoden der Bildbearbeitung und der Musteranalyse stellen Werkzeuge dar, um aus den Bildinformationen von dreidimensionalen Objekten Ausgangsdaten für die Bildinterpretation zu erzeugen.

Computer Vision

Einführung in die Verarbeitung und Analyse digitaler Bilder

Author: Lutz Priese

Publisher: Springer-Verlag

ISBN: 3662451298

Category: Computers

Page: 332

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Der Autor erläutert in dieser Einführung auf Bachelorniveau die in der Computer Vision verwendeten technischen Ausdrücke: Grundlagen des menschlichen Sehens, Farbe, exakte Begriffsbestimmungen zum Thema "Bild", Transformationen, lineare und nicht-lineare Filter, Fouriertransformation, Morphologie, Merkmale im Bild wie Kanten, Ecken, geometrische Formen mittels Hough-Transformation, diverse Hüllen und Skelettierung. Ferner höhere Merkmale wie SIFT, Shape-Context und statistische Merkmale, Texturmerkmale. Die Bestimmung von Segmenten (zusammenhängende Regionen ähnlicher Farben oder Grauwerte) wird in einem eigenen Kapitel ausführlich behandelt.

Computer Vision

Algorithms and Applications

Author: Richard Szeliski

Publisher: Springer Science & Business Media

ISBN: 9781848829350

Category: Computers

Page: 812

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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.

Bildverarbeitung und Objekterkennung

Computer Vision in Industrie und Medizin

Author: Herbert Süße,Erik Rodner

Publisher: Springer-Verlag

ISBN: 3834826065

Category: Technology & Engineering

Page: 666

View: 4359

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Dieses Buch erläutert, wie Informationen automatisch aus Bildern extrahiert werden. Mit dieser sehr aktuellen Frage beschäftigt sich das Buch mittels eines Streifzuges durch die Bildverarbeitung. Dabei werden sowohl die mathematischen Grundlagen vieler Verfahren der 2D- und 3D-Bildanalyse vermittelt als auch deren Nutzen anhand von Problemstellungen aus vielen Bereichen (Medizin, industrielle Bildverarbeitung, Objekterkennung) erläutert. Das Buch eignet sich sowohl für Studierende der Informatik, Mathematik und Ingenieurwissenschaften als auch für Anwender aus der industriellen Bildverarbeitung.

Computer Vision

Systems, Theory and Applications

Author: Anup Basu,Xiaobo Li

Publisher: World Scientific

ISBN: 9789810213923

Category: Computers

Page: 257

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This book contains a selection of papers which were presented at the Vision Interface '92 Conference. It also includes several invited articles from prominent researchers in the field, suggesting future directions in Computer Vision.

Computer Vision Systems

8th International Conference, ICVS 2011, Sophia Antipolis, France, September 20-22, 2011, Proceedings

Author: James L. Crowley,Bruce Draper,Monique Thonnat

Publisher: Springer Science & Business Media

ISBN: 3642239676

Category: Computers

Page: 222

View: 4360

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This book constitutes the refereed proceedings of the 8th International Conference on Computer Vision Systems, ICVS 2011, held in Sophia Antipolis, France, in September 2009. The 22 revised papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on vision systems, control of perception, performance evaluation, activity recognition, and knowledge directed vision.

Consumer Depth Cameras for Computer Vision

Research Topics and Applications

Author: Andrea Fossati,Juergen Gall,Helmut Grabner,Xiaofeng Ren,Kurt Konolige

Publisher: Springer Science & Business Media

ISBN: 1447146395

Category: Computers

Page: 210

View: 1681

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The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications. This authoritative text reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton.

Computer Vision - ECCV 2008

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

Author: David Forsyth,Philip Torr

Publisher: Springer Science & Business Media

ISBN: 3540886923

Category: Computers

Page: 891

View: 3884

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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.

Data Segmentation and Model Selection for Computer Vision

A Statistical Approach

Author: Alireza Bab-Hadiashar,David Suter

Publisher: Springer Science & Business Media

ISBN: 038721528X

Category: Computers

Page: 208

View: 9690

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This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, plus 2D and 3D scene segmentation. Emphasis is placed on robust model selection with techniques such as robust Mallows Cp, least K-th order statistical model fitting (LKS), and robust regression receiving much attention. With contributions from leading researchers, this is a valuable resource for researchers and graduated students working in computer vision, pattern recognition, image processing and robotics.

Computer Vision Systems

Author: Allen Hanson

Publisher: Elsevier

ISBN: 0323151205

Category: Technology & Engineering

Page: 418

View: 6846

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Computer Vision Systems is a collection of papers presented at the Workshop on Computer Vision Systems held at the University of Massachusetts in Amherst, Massachusetts, on June 1-3, 1977. Contributors discuss the breadth of problems that must be taken into account in the development of general computer vision systems. Topics covered include the application of system engineering techniques to the design of artificial intelligence systems; representation and segmentation of natural scenes; and pragmatic aspects of machine vision. Psychophysical measures of representation and interpretation are also considered. This monograph is divided into four sections: Issues and Research Strategies, Segmentation, Theory and Psychology, and Systems. The first chapter explores the problem of recovering the intrinsic characteristics of scenes from images, along with its implications for machine and human vision. The discussion then turns to special-purpose low-level vision systems that can be flexibly reconfigured as the need arises; design, development, and implementation of large systems from the human engineering point of view; and representation of visual information. The next section examines hierarchical relaxation for waveform parsing; the topology and semantics of intensity arrays; and visual images as spatial representations in active memory. The use of edge cues to recognize real-world objects is also analyzed. This text will be a useful resource for systems designers, computer engineers, and scientists as well as psychologists.

Template Matching Techniques in Computer Vision

Theory and Practice

Author: Roberto Brunelli

Publisher: John Wiley & Sons

ISBN: 9780470744048

Category: Science

Page: 348

View: 2804

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The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems. This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications. Using examples from face processing tasks throughout the book to illustrate more general object recognition approaches, Roberto Brunelli: examines the basics of digital image formation, highlighting points critical to the task of template matching; presents basic and advanced template matching techniques, targeting grey-level images, shapes and point sets; discusses recent pattern classification paradigms from a template matching perspective; illustrates the development of a real face recognition system; explores the use of advanced computer graphics techniques in the development of computer vision algorithms. Template Matching Techniques in Computer Vision is primarily aimed at practitioners working on the development of systems for effective object recognition such as biometrics, robot navigation, multimedia retrieval and landmark detection. It is also of interest to graduate students undertaking studies in these areas.

Computer Vision, Models, and Inspection

Author: A. Dave Marshall,Ralph R. Martin

Publisher: World Scientific

ISBN: 9810207727

Category: Computers

Page: 437

View: 9353

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The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches to probems and then set forth their proposed approach to matching and inspection. They deal primarily with 3-D vision but also discuss 2-D vision strategies when relevant.The book is suitable for researchers, final year undergraduates and graduate students. Useful review questions at the end of each chapter allow this book to be used for self-study.

Multiple View Geometry in Computer Vision

Author: Richard Hartley,Andrew Zisserman

Publisher: Cambridge University Press

ISBN: 9780521540513

Category: Computers

Page: 655

View: 1809

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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.

Computer Vision Beyond the Visible Spectrum

Author: Bir Bhanu,Ioannis Pavlidis

Publisher: Springer Science & Business Media

ISBN: 1846280656

Category: Computers

Page: 320

View: 3211

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Recently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.

Computer Vision and Computer Graphics. Theory and Applications

International Conference VISIGRAPP 2007, Barcelona, Spain, March 8-11, 2007, Revised Selected Papers

Author: José Braz,AlpeshKumar Ranchordas,Hélder J. Araújo,Joao Madeiras Pereira

Publisher: Springer Science & Business Media

ISBN: 3540896821

Category: Computers

Page: 259

View: 7884

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This book includes selected papers from VISIGRAPP 2007, the Joint Conference on Computer Vision and Computer Graphics, comprising two component conferences, namely, the International Conference on Computer Vision Theory and Applications (VISAPP) and the International Conference on Computer Graphics Theory and App- cations (GRAPP), held in Barcelona, Spain, during March 8–11, 2007. We received quite a high number of paper submissions: 382 in total for both conf- ences. We had contributions from more than 50 countries in all five continents. This confirms the success and global dimension of these jointly organized conferences. After a rigorous double-blind evaluation method, a total of 78 submissions were accepted as full papers. From those, 18 got selected for inclusion in this book. To ensure the sci- tific quality of the contributions, these were selected from papers that were evaluated with the highest scores by the VISIGRAPP Program Committee members and then they were extended and revised by the authors. Special thanks go to all contributors and re- rees, without whom this book would not have been possible. VISIGRAPP 2007 included four invited keynote lectures, presented by internati- ally recognized researchers. The presentations represented an important contribution to increasing the overall quality of the conference. We would like to express our - preciation to all invited keynote speakers, in alphabetical order: Jake K. Aggarwal (The University of Texas at Austin/USA), André Gagalowicz (INRIA/France), Wo- gang Heidrich (University of British Columbia/Canada), Mel Slater (Universitat Politècnica de Catalunya/Spain).

3D Computer Vision

Efficient Methods and Applications

Author: Christian Wöhler

Publisher: Springer Science & Business Media

ISBN: 1447141504

Category: Computers

Page: 382

View: 3518

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This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.

Feature Extraction & Image Processing for Computer Vision

Author: Mark S. Nixon,Alberto S. Aguado

Publisher: Academic Press

ISBN: 0123965497

Category: Computers

Page: 609

View: 1794

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This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews Essential reading for engineers and students working in this cutting-edge field Ideal module text and background reference for courses in image processing and computer vision The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

Computer Vision: Craft, Engineering, and Science

Workshop Proceedings, Killarney, Ireland, September 9/10, 1991

Author: David Vernon

Publisher: Springer Science & Business Media

ISBN: 9783540572114

Category: Computers

Page: 98

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This volume assesses approaches to the construction of computer vision systems. It shows that there is a spectrum of approaches with different degrees of maturity and robustness. The useful exploitation of computer vision in industry and elsewhere and the development of the discipline itself depend on understanding the way these approaches influence one another. The chief topic discussed is autonomy.True autonomy may not be achievable in machines in the near future, and the workshop concluded that it may be more desirable - and is certainly more pragmatic - to leave a person in the processing loop. The second conclusion of the workshop concerns the manner in which a system is designedfor an application. It was agreed that designers should first specify the required functionality, then identify the knowledge appropriate to that task, and finally choose the appropriate techniques and algorithms. The third conclusion concerns the methodologies employed in developing vision systems: craft, engineering, and science are mutually relevant and contribute to one another. The contributors place heavy emphasis on providing the reader with concrete examples of operational systems. The book is based on a workshop held as part of the activities of an ESPRIT Basic Research Action.

Calibration and Orientation of Cameras in Computer Vision

Author: Armin Gruen,Thomas S. Huang

Publisher: Springer Science & Business Media

ISBN: 9783540652830

Category: Computers

Page: 236

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This book was conceived during the Workshop "Calibration and Orientation of Cameras in Computer Vision" at the XVIIth Congress of the ISPRS (In ternational Society of Photogrammetry and Remote Sensing), in July 1992 in Washington, D. C. The goal of this workshop was to bring photogrammetry and computer vision experts together in order to exchange ideas, concepts and approaches in camera calibration and orientation. These topics have been addressed in photogrammetry research for a long time, starting in the sec ond half of the 19th century. Over the years standard procedures have been developed and implemented, in particular for metric cameras, such that in the photogrammetric community such issues were considered as solved prob lems. With the increased use of non-metric cameras (in photogrammetry they are revealingly called "amateur" cameras), especially CCD cameras, and the exciting possibilities of acquiring long image sequences quite effortlessly and processing image data automatically, online and even in real-time, the need to take a new and fresh look at various calibration and orientation issues became obvious. Here most activities emerged through the computer vision commu nity, which was somewhat unaware as to what had already been achieved in photogrammetry. On the other hand, photogrammetrists seemed to ignore the new and interesting studies, in particular on the problems of orienta tion, that were being performed by computer vision experts.

Embedded Computer Vision

Author: Branislav Kisacanin,Shuvra S. Bhattacharyya,Sek Chai

Publisher: Springer Science & Business Media

ISBN: 1848003048

Category: Computers

Page: 284

View: 631

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As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive—about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user’s guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: “An object has appeared in the upper right corner...Itismovingdownandtotheleft...Nowtheobjectisgettingcloser...The object moved out of sight to the left”—about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked.