Three Dimensional Computer Vision

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Three-dimensional Computer Vision

Author : Olivier Faugeras
Publisher : MIT Press
Page : 712 pages
File Size : 50,7 Mb
Release : 1993
Category : Computers
ISBN : 0262061589

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Three-dimensional Computer Vision by Olivier Faugeras Pdf

This monograph by one of the world's leading vision researchers provides a thorough, mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques related to three-dimensional (stereo) vision and motion. The emphasis is on using geometry to solve problems in stereo and motion, with examples from navigation and object recognition. Faugeras takes up such important problems in computer vision as projective geometry, camera calibration, edge detection, stereo vision (with many examples on real images), different kinds of representations and transformations (especially 3-D rotations), uncertainty and methods of addressing it, and object representation and recognition. His theoretical account is illustrated with the results of actual working programs.Three-Dimensional Computer Vision proposes solutions to problems arising from a specific robotics scenario in which a system must perceive and act. Moving about an unknown environment, the system has to avoid static and mobile obstacles, build models of objects and places in order to be able to recognize and locate them, and characterize its own motion and that of moving objects, by providing descriptions of the corresponding three-dimensional motions. The ideas generated, however, can be used indifferent settings, resulting in a general book on computer vision that reveals the fascinating relationship of three-dimensional geometry and the imaging process.

Three-Dimensional Computer Vision

Author : Yoshiaki Shirai
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 40,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642824296

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Three-Dimensional Computer Vision by Yoshiaki Shirai Pdf

The purpose of computer vision is to make computers capable of understanding environments from visual information. Computer vision has been an interesting theme in the field of artificial intelligence. It involves a variety of intelligent information processing: both pattern processing for extraction of meaningful symbols from visual information and symbol processing for determining what the symbols represent. The term "3D computer vision" is used if visual information has to be interpreted as three-dimensional scenes. 3D computer vision is more challenging because objects are seen from limited directions and some objects are occluded by others. In 1980, the author wrote a book "Computer Vision" in Japanese to introduce an interesting new approach to visual information processing developed so far. Since then computer vision has made remarkable progress: various rangefinders have become available, new methods have been developed to obtain 3D informa tion, knowledge representation frameworks have been proposed, geometric models which were developed in CAD/CAM have been used for computer vision, and so on. The progress in computer vision technology has made it possible to understand more complex 3 D scenes. There is an increasing demand for 3D computer vision. In factories, for example, automatic assembly and inspection can be realized with fewer con straints than conventional ones which employ two-dimensional computer vision.

An Introduction to 3D Computer Vision Techniques and Algorithms

Author : Boguslaw Cyganek,J. Paul Siebert
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 44,5 Mb
Release : 2011-08-10
Category : Science
ISBN : 9781119964476

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An Introduction to 3D Computer Vision Techniques and Algorithms by Boguslaw Cyganek,J. Paul Siebert Pdf

Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model. This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; explain scale-space vision, as well as space reconstruction and multiview integration; demonstrate a variety of practical applications for 3D surface imaging and analysis; provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.

3D Computer Vision

Author : Christian Wöhler
Publisher : Springer Science & Business Media
Page : 390 pages
File Size : 46,8 Mb
Release : 2012-07-23
Category : Computers
ISBN : 9781447141501

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3D Computer Vision by Christian Wöhler Pdf

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.

Introductory Techniques for 3-D Computer Vision

Author : Emanuele Trucco,Alessandro Verri
Publisher : Unknown
Page : 376 pages
File Size : 51,8 Mb
Release : 1998
Category : Computers
ISBN : STANFORD:36105119837941

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Introductory Techniques for 3-D Computer Vision by Emanuele Trucco,Alessandro Verri Pdf

This text provides readers with a starting point to understand and investigate the literature of computer vision, listing conferences, journals and Internet sites.

Computer Vision

Author : Reinhard Klette,Karsten Schlüns,Andreas Koschan
Publisher : Unknown
Page : 416 pages
File Size : 52,9 Mb
Release : 1998-09
Category : Computers
ISBN : UOM:39015047118537

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Computer Vision by Reinhard Klette,Karsten Schlüns,Andreas Koschan Pdf

This book explores computer vision, describing the reconstruction of object surfaces and the analysis of distances between camera and objects. Fundamentals and algorithms are presented, including topics such as dynamic stereo analysis, shape from shading, photometric stereo analysis, and structural illumination. New research results in shape reconstruction and depth analysis are also included.

3D Computer Vision

Author : Christian Wöhler
Publisher : Springer Science & Business Media
Page : 385 pages
File Size : 46,8 Mb
Release : 2009-07-28
Category : Computers
ISBN : 9783642017322

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3D Computer Vision by Christian Wöhler Pdf

This work provides an introduction to the foundations of three-dimensional c- puter vision and describes recent contributions to the ?eld, which are of methodical and application-speci?c nature. Each chapter of this work provides an extensive overview of the corresponding state of the art, into which a detailed description of new methods or evaluation results in application-speci?c systems is embedded. Geometric approaches to three-dimensional scene reconstruction (cf. Chapter 1) are primarily based on the concept of bundle adjustment, which has been developed more than 100 years ago in the domain of photogrammetry. The three-dimensional scene structure and the intrinsic and extrinsic camera parameters are determined such that the Euclidean backprojection error in the image plane is minimised, u- ally relying on a nonlinear optimisation procedure. In the ?eld of computer vision, an alternative framework based on projective geometry has emerged during the last two decades, which allows to use linear algebra techniques for three-dimensional scene reconstructionand camera calibration purposes. With special emphasis on the problems of stereo image analysis and camera calibration, these fairly different - proaches are related to each other in the presented work, and their advantages and drawbacks are stated. In this context, various state-of-the-artcamera calibration and self-calibration methods as well as recent contributions towards automated camera calibration systems are described. An overview of classical and new feature-based, correlation-based, dense, and spatio-temporal methods for establishing point c- respondences between pairs of stereo images is given.

An Invitation to 3-D Vision

Author : Yi Ma,Stefano Soatto,Jana Kosecká,S. Shankar Sastry
Publisher : Springer Science & Business Media
Page : 542 pages
File Size : 51,5 Mb
Release : 2012-11-06
Category : Computers
ISBN : 9780387217796

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An Invitation to 3-D Vision by Yi Ma,Stefano Soatto,Jana Kosecká,S. Shankar Sastry Pdf

This book introduces the geometry of 3-D vision, that is, the reconstruction of 3-D models of objects from a collection of 2-D images. It details the classic theory of two view geometry and shows that a more proper tool for studying the geometry of multiple views is the so-called rank consideration of the multiple view matrix. It also develops practical reconstruction algorithms and discusses possible extensions of the theory.

Guide to Three Dimensional Structure and Motion Factorization

Author : Guanghui Wang,Jonathan Wu
Publisher : Springer Science & Business Media
Page : 214 pages
File Size : 40,7 Mb
Release : 2010-10-20
Category : Computers
ISBN : 9780857290465

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Guide to Three Dimensional Structure and Motion Factorization by Guanghui Wang,Jonathan Wu Pdf

The problem of structure and motion recovery from image sequences is an important theme in computer vision. Considerable progress has been made in this field during the past two decades, resulting in successful applications in robot navigation, augmented reality, industrial inspection, medical image analysis, and digital entertainment, among other areas. However, many of these methods work only for rigid objects and static scenes. The study of non-rigid structure from motion is not only of academic significance, but also has important practical applications in real-world, nonrigid or dynamic scenarios, such as human facial expressions and moving vehicles. This practical guide/reference provides a comprehensive overview of Euclidean structure and motion recovery, with a specific focus on factorization-based algorithms. The book discusses the latest research in this field, including the extension of the factorization algorithm to recover the structure of non-rigid objects, and presents some new algorithms developed by the authors. Readers require no significant knowledge of computer vision, although some background on projective geometry and matrix computation would be beneficial. Topics and features: presents the first systematic study of structure and motion recovery of both rigid and non-rigid objects from images sequences; discusses in depth the theory, techniques, and applications of rigid and non-rigid factorization methods in three dimensional computer vision; examines numerous factorization algorithms, covering affine, perspective and quasi-perspective projection models; provides appendices describing the mathematical principles behind projective geometry, matrix decomposition, least squares, and nonlinear estimation techniques; includes chapter-ending review questions, and a glossary of terms used in the book. This unique text offers practical guidance in real applications and implementations of 3D modeling systems for practitioners in computer vision and pattern recognition, as well as serving as an invaluable source of new algorithms and methodologies for structure and motion recovery for graduate students and researchers.

Guide to 3D Vision Computation

Author : Kenichi Kanatani,Yasuyuki Sugaya,Yasushi Kanazawa
Publisher : Springer
Page : 321 pages
File Size : 41,7 Mb
Release : 2016-12-09
Category : Computers
ISBN : 9783319484938

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Guide to 3D Vision Computation by Kenichi Kanatani,Yasuyuki Sugaya,Yasushi Kanazawa Pdf

This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other computer vision textbooks, this guide takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system. The theoretical background is then briefly explained afterwards, highlighting how one can quickly and simply obtain the desired result without knowing the derivation of the mathematical detail. Features: reviews the fundamental algorithms underlying computer vision; describes the latest techniques for 3D reconstruction from multiple images; summarizes the mathematical theory behind statistical error analysis for general geometric estimation problems; presents derivations at the end of each chapter, with solutions supplied at the end of the book; provides additional material at an associated website.

Photomechanics

Author : Pramod K. Rastogi
Publisher : Springer Science & Business Media
Page : 472 pages
File Size : 41,8 Mb
Release : 2003-07-01
Category : Science
ISBN : 9783540488002

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Photomechanics by Pramod K. Rastogi Pdf

Presenting the use of photonics techniques for measurement in mechanics, this book provides a state-of-the-art review of this active and rapidly growing field. It serves as an invaluable resource for readers to explore the current status and includes a wealth of information on the essential principles and methods. It provides a substantial background in a concise and simple way to enable physicists and engineers to assess, analyze and implement experimental systems needed to solve their specific measurement problems.

Three-Dimensional Object Recognition from Range Images

Author : Minsoo Suk,Suchendra M. Bhandarkar
Publisher : Springer Science & Business Media
Page : 318 pages
File Size : 50,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9784431682134

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Three-Dimensional Object Recognition from Range Images by Minsoo Suk,Suchendra M. Bhandarkar Pdf

Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. T08iyasu L. Kunii PREFACE The primary aim of this book is to present a coherent and self-contained de scription of recent advances in three-dimensional object recognition from range images. Three-dimensional object recognition concerns recognition and localiza tion of objects of interest in a scene from input images. This problem is one of both theoretical and practical importance. On the theoretical side, it is an ideal vehicle for the study of the general area of computer vision since it deals with several important issues encountered in computer vision-for example, issues such as feature extraction, acquisition, representation and proper use of knowl edge, employment of efficient control strategies, coupling numerical and symbolic computations, and parallel implementation of algorithms. On the practical side, it has a wide range of applications in areas such as robot vision, autonomous navigation, automated inspection of industrial parts, and automated assembly.

Computer Vision

Author : Christopher W. Tyler
Publisher : CRC Press
Page : 292 pages
File Size : 49,5 Mb
Release : 2011-01-24
Category : Computers
ISBN : 1439817138

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Computer Vision by Christopher W. Tyler Pdf

The typical computational approach to object understanding derives shape information from the 2D outline of the objects. For complex object structures, however, such a planar approach cannot determine object shape; the structural edges have to be encoded in terms of their full 3D spatial configuration. Computer Vision: From Surfaces to 3D Objects is the first book to take a full approach to the challenging issue of veridical 3D object representation. It introduces mathematical and conceptual advances that offer an unprecedented framework for analyzing the complex scene structure of the world. An Unprecedented Framework for Complex Object Representation Presenting the material from both computational and neural implementation perspectives, the book covers novel analytic techniques for all levels of the surface representation problem. The cutting-edge contributions in this work run the gamut from the basic issue of the ground plane for surface estimation through mid-level analyses of surface segmentation processes to complex Riemannian space methods for representing and evaluating surfaces. State-of-the-Art 3D Surface and Object Representation This well-illustrated book takes a fresh look at the issue of 3D object representation. It provides a comprehensive survey of current approaches to the computational reconstruction of surface structure in the visual scene.

From Surfaces to Objects

Author : R. B. Fisher
Publisher : Unknown
Page : 314 pages
File Size : 53,7 Mb
Release : 1989-06-07
Category : Computers
ISBN : UOM:39015012021203

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From Surfaces to Objects by R. B. Fisher Pdf

A unified approach to the theory and practice of computer vision. Presents a model-based, 3-dimensional scene analysis that combines surface patches segmented from the 3-dimensional scene description; surface-patch-based object models; a hierarchy of representations, models, and recognitions; a distributed-network-based model invocation process; and a knowledge-based model matcher. Describes the model-independent scene analysis, and how objects are represented and selected, and shows how to locate, verify, and understand a known object given its geometric model.

Multiple View Geometry in Computer Vision

Author : Richard Hartley,Andrew Zisserman
Publisher : Cambridge University Press
Page : 676 pages
File Size : 51,8 Mb
Release : 2003
Category : Computers
ISBN : 0521540518

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Multiple View Geometry in Computer Vision by Richard Hartley,Andrew Zisserman Pdf

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.