Vision par ordinateur en deux et trois dimensions

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Publisher :
ISBN 13 : 9782212081954
Total Pages : 411 pages
Book Rating : 4.0/5 (819 download)

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Book Synopsis Vision par ordinateur en deux et trois dimensions by : Jacques E. Besancon

Download or read book Vision par ordinateur en deux et trois dimensions written by Jacques E. Besancon and published by . This book was released on 1988 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to 3D Computer Vision Techniques and Algorithms

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Publisher : John Wiley & Sons
ISBN 13 : 1119964474
Total Pages : 485 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis An Introduction to 3D Computer Vision Techniques and Algorithms by : Boguslaw Cyganek

Download or read book An Introduction to 3D Computer Vision Techniques and Algorithms written by Boguslaw Cyganek and published by John Wiley & Sons. This book was released on 2011-08-10 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer Nature
ISBN 13 : 9811976031
Total Pages : 480 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis 3D Computer Vision by : Yu-Jin Zhang

Download or read book 3D Computer Vision written by Yu-Jin Zhang and published by Springer Nature. This book was released on with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced methodologies and technologies. Divided into 11 chapters, it covers the main workflow of 3D computer vision as follows: camera imaging and calibration models; various modes and means of 3D image acquisition; binocular, trinocular and multi-ocular stereo vision matching techniques; monocular single-image and multi-image scene restoration methods; point cloud data processing and modeling; simultaneous location and mapping; generalized image and scene matching; and understanding spatial-temporal behavior. Each topic is addressed in a uniform manner: the dedicated chapter first covers the essential concepts and basic principles before presenting a selection of typical, specific methods and practical techniques. In turn, it introduces readers to the most important recent developments, especially in the last three years. This approach allows them to quickly familiarize themselves with the subject, implement the techniques discussed, and design or improve their own methods for specific applications. The book can be used as a textbook for graduate courses in computer science, computer engineering, electrical engineering, data science, and related subjects. It also offers a valuable reference guide for researchers and practitioners alike

3D Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 3642017320
Total Pages : 391 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis 3D Computer Vision by : Christian Wöhler

Download or read book 3D Computer Vision written by Christian Wöhler and published by Springer Science & Business Media. This book was released on 2009-07-28 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Guide to 3D Vision Computation

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Publisher : Springer
ISBN 13 : 9783319839554
Total Pages : 0 pages
Book Rating : 4.8/5 (395 download)

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Book Synopsis Guide to 3D Vision Computation by : Kenichi Kanatani

Download or read book Guide to 3D Vision Computation written by Kenichi Kanatani and published by Springer. This book was released on 2018-07-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Invitation to 3-D Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 0387217797
Total Pages : 542 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis An Invitation to 3-D Vision by : Yi Ma

Download or read book An Invitation to 3-D Vision written by Yi Ma and published by Springer Science & Business Media. This book was released on 2012-11-06 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introductory Techniques for 3-D Computer Vision

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Publisher :
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Introductory Techniques for 3-D Computer Vision by : Emanuele Trucco

Download or read book Introductory Techniques for 3-D Computer Vision written by Emanuele Trucco and published by . This book was released on 1998 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides readers with a starting point to understand and investigate the literature of computer vision, listing conferences, journals and Internet sites.

Representations and Techniques for 3D Object Recognition and Scene Interpretation

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608457281
Total Pages : 172 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Representations and Techniques for 3D Object Recognition and Scene Interpretation by : Derek Hoiem

Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Hoiem and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions

Three-Dimensional Computer Vision

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Publisher :
ISBN 13 : 9783642824302
Total Pages : 312 pages
Book Rating : 4.8/5 (243 download)

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Book Synopsis Three-Dimensional Computer Vision by : Yoshiaki Shirai

Download or read book Three-Dimensional Computer Vision written by Yoshiaki Shirai and published by . This book was released on 1987-04-29 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

3D Imaging, Analysis and Applications

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Publisher : Springer
ISBN 13 : 9783030440725
Total Pages : 736 pages
Book Rating : 4.4/5 (47 download)

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Book Synopsis 3D Imaging, Analysis and Applications by : Yonghuai Liu

Download or read book 3D Imaging, Analysis and Applications written by Yonghuai Liu and published by Springer. This book was released on 2021-09-13 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is designed for postgraduate studies in the field of 3D Computer Vision. It also provides a useful reference for industrial practitioners; for example, in the areas of 3D data capture, computer-aided geometric modelling and industrial quality assurance. This second edition is a significant upgrade of existing topics with novel findings. Additionally, it has new material covering consumer-grade RGB-D cameras, 3D morphable models, deep learning on 3D datasets, as well as new applications in the 3D digitization of cultural heritage and the 3D phenotyping of crops. Overall, the book covers three main areas: ● 3D imaging, including passive 3D imaging, active triangulation 3D imaging, active time-of-flight 3D imaging, consumer RGB-D cameras, and 3D data representation and visualisation; ● 3D shape analysis, including local descriptors, registration, matching, 3D morphable models, and deep learning on 3D datasets; and ● 3D applications, including 3D face recognition, cultural heritage and 3D phenotyping of plants. 3D computer vision is a rapidly advancing area in computer science. There are many real-world applications that demand high-performance 3D imaging and analysis and, as a result, many new techniques and commercial products have been developed. However, many challenges remain on how to analyse the captured data in a way that is sufficiently fast, robust and accurate for the application. Such challenges include metrology, semantic segmentation, classification and recognition. Thus, 3D imaging, analysis and their applications remain a highly-active research field that will continue to attract intensive attention from the research community with the ultimate goal of fully automating the 3D data capture, analysis and inference pipeline.

Three-dimensional Computer Vision

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Publisher : MIT Press
ISBN 13 : 9780262061582
Total Pages : 712 pages
Book Rating : 4.0/5 (615 download)

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Book Synopsis Three-dimensional Computer Vision by : Olivier Faugeras

Download or read book Three-dimensional Computer Vision written by Olivier Faugeras and published by MIT Press. This book was released on 1993 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

IROS

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Publisher :
ISBN 13 :
Total Pages : 712 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis IROS by :

Download or read book IROS written by and published by . This book was released on 1999 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Vision stéréo par ordinateur

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Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 137 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Vision stéréo par ordinateur by : Fouad Sabry

Download or read book Vision stéréo par ordinateur written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-28 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Qu'est-ce que la vision stéréo par ordinateur La vision stéréoscopique par ordinateur est l'extraction d'informations 3D à partir d'images numériques, telles que celles obtenues par une caméra CCD. En comparant les informations sur une scène depuis deux points de vue, des informations 3D peuvent être extraites en examinant les positions relatives des objets dans les deux panneaux. Ceci est similaire au processus biologique de la stéréopsie. Comment vous en bénéficierez (I) Informations et validations sur les sujets suivants : Chapitre 1 : Vision stéréoscopique par ordinateur Chapitre 2 : Reconstruction 3D Chapitre 3 : Modèle de contour actif Chapitre 4 : Détecteur de région affine de Harris Chapitre 5 : Détection du premier plan Chapitre 6 : Matrix Chernoff lié Chapitre 7 : Similitude Chapitre 8 : Similitude structurelle Chapitre 9 : Fonction de variance Chapitre 10 : Distance de départ de Fréchet (II) Répondre aux principales questions du public sur la vision stéréoscopique par ordinateur. (III) Exemples concrets d'utilisation de la vision stéréoscopique par ordinateur dans de nombreux domaines. À qui s'adresse ce livre Professionnels, étudiants de premier cycle et des cycles supérieurs, passionnés, amateurs et ceux qui souhaitent aller au-delà des connaissances ou des informations de base pour tout type de vision stéréo par ordinateur.

Handbook of Image Processing and Computer Vision

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Publisher : Springer Nature
ISBN 13 : 3030423743
Total Pages : 448 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Handbook of Image Processing and Computer Vision by : Arcangelo Distante

Download or read book Handbook of Image Processing and Computer Vision written by Arcangelo Distante and published by Springer Nature. This book was released on 2020-05-30 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : CRC Press
ISBN 13 : 1439817138
Total Pages : 268 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Computer Vision by : Christopher W. Tyler

Download or read book Computer Vision written by Christopher W. Tyler and published by CRC Press. This book was released on 2011-01-24 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision 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. Leading theorists cover full 3D scene reconstruction, instead of the simplistic 2D planar algorithms employed in the past. They explore cutting-edge research on computational algorithms for scene analysis and present an integrated, complementary treatment of neural, behavioral, mathematical, and computational approaches. The text includes numerous graphics of complex processes, with many in color.

Three-Dimensional Imaging, Visualization, and Display

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Publisher : Springer Science & Business Media
ISBN 13 : 0387793356
Total Pages : 528 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Three-Dimensional Imaging, Visualization, and Display by : Bahram Javidi

Download or read book Three-Dimensional Imaging, Visualization, and Display written by Bahram Javidi and published by Springer Science & Business Media. This book was released on 2010-07-15 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is an up-to-date examination of recent developments in 3D imaging, as well as coverage of the prospects and challenges facing 3D moving picture systems and devices, including binocular, multi-view, holographic, and image reproduction techniques.

Computer Analysis of Images and Patterns

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Publisher : Springer
ISBN 13 :
Total Pages : 888 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Computer Analysis of Images and Patterns by : Dmitrij Csetverikov

Download or read book Computer Analysis of Images and Patterns written by Dmitrij Csetverikov and published by Springer. This book was released on 1993 with total page 888 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume constitutes the proceedings of the 5th International Conference on Computer Analysis of Images and Patterns (CAIP'93), held in Budapest, Hungary, in September 1993. Formerly, the events in this biennial conference series were thought as a forum where East European researchers and professionals from academia and industry had an opportunity to discuss their results and ideas with Western colleagues active in image processing and pattern recognition. Now, CAIP'93 has a much more international scope, and in the future these conferences will not any longertake place only in East European countries, but roam throughout whole Europe. Besides invited talks by Belikova, Gimel'farb, Haralick and Roska, the volume contains 114 contributions, either presented as lectures or posters and carefully selected by a highly competent international program committee from a total of some 230 submissions; thus the book gives a thorough survey on recent research results and their applications in image processing and pattern recognition. The proceedings is organized in 20 sections, for example on image data structures, image processing, edges and contours, Hough transforms and related methods, shape, motion, 3-D vision, character recognition and document processing, biomedical applications, industrial applications, and neural networks."--PUBLISHER'S WEBSITE.