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Author: Theo Moons
Publisher: Now Publishers Inc
ISBN: 1601982844
Category : Computers
Languages : en
Pages : 128
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Book Description
The issue discusses methods to extract 3-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The principles underlying such uncalibrated structure-from-motion methods are outlined. First, a short review of 3D acquisition technologies puts such methods in a wider context, and highlights their important advantages. Then, the actual theory behind this line of research is given. The authors have tried to keep the text maximally self-contained, therefore also avoiding to rely on an extensive knowledge of the projective concepts that usually appear in texts about self-calibration 3D methods. Rather, mathematical explanations that are more amenable to intuition are given. The explanation of the theory includes the stratification of reconstructions obtained from image pairs as well as metric reconstruction on the basis of more than 2 images combined with some additional knowledge about the cameras used. Readers who want to obtain more practical information about how to implement such uncalibrated structure-from-motion pipelines may be interested in two more Foundations and Trends issues written by the same authors. Together with this issue they can be read as a single tutorial on the subject.
Author: Theo Moons
Publisher: Now Publishers Inc
ISBN: 1601982844
Category : Computers
Languages : en
Pages : 128
Get Book Here
Book Description
The issue discusses methods to extract 3-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The principles underlying such uncalibrated structure-from-motion methods are outlined. First, a short review of 3D acquisition technologies puts such methods in a wider context, and highlights their important advantages. Then, the actual theory behind this line of research is given. The authors have tried to keep the text maximally self-contained, therefore also avoiding to rely on an extensive knowledge of the projective concepts that usually appear in texts about self-calibration 3D methods. Rather, mathematical explanations that are more amenable to intuition are given. The explanation of the theory includes the stratification of reconstructions obtained from image pairs as well as metric reconstruction on the basis of more than 2 images combined with some additional knowledge about the cameras used. Readers who want to obtain more practical information about how to implement such uncalibrated structure-from-motion pipelines may be interested in two more Foundations and Trends issues written by the same authors. Together with this issue they can be read as a single tutorial on the subject.
Author: Francesco Bellocchio
Publisher: Springer Science & Business Media
ISBN: 1461456320
Category : Computers
Languages : en
Pages : 167
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Book Description
3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology. Modeling starts from data captured by 3D digitizers and makes the process even more clear and engaging. Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced. These paradigms are innovatively extended to a multi-scale incremental structure, based on a hierarchical scheme. The resulting approaches allow readers to achieve high accuracy with limited computational complexity, and makes the approaches appropriate for online, real-time operation. Applications can be found in any domain in which regression is required. 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches is designed as a secondary text book or reference for advanced-level students and researchers in computer science. This book also targets practitioners working in computer vision or machine learning related fields.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Computers
Languages : fr
Pages : 121
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Book Description
Qu'est-ce que la reconstruction tridimensionnelle multi-vues La reconstruction 3D à partir de plusieurs images est la création de modèles tridimensionnels à partir d'un ensemble d'images. Il s'agit du processus inverse d'obtention d'images 2D à partir de scènes 3D. Comment vous en bénéficierez (I) Informations et validations sur les sujets suivants : Chapitre 1 : Reconstruction 3D à partir de plusieurs images Chapitre 2 : Matrice fondamentale (vision par ordinateur) Chapitre 3 : Triangulation (vision par ordinateur) Chapitre 4 : Perspective-n-Point Chapitre 5 : Assemblage d'images Chapitre 6 : Modèle de contour actif Chapitre 7 : Ajustement du paquet Chapitre 8 : Transformation de caractéristiques invariantes d'échelle Chapitre 9 : Reconnaissance d'objets 3D Chapitre 10 : Calibrage automatique de la caméra (II) Répondre aux principales questions du public sur la reconstruction tridimensionnelle multi-vues. (III) Exemples concrets d'utilisation de la reconstruction tridimensionnelle multi-vues dans de nombreux domaines. Qui est-ce ? Le livre s'adresse aux professionnels, aux étudiants de premier cycle et des cycles supérieurs, aux passionnés, aux amateurs et à ceux qui souhaitent aller au-delà des connaissances ou des informations de base pour tout type de reconstruction tridimensionnelle multi-vues.
Author: Jean-Denis Durou
Publisher: Springer Nature
ISBN: 3030518663
Category : Computers
Languages : en
Pages : 239
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Book Description
This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations.
Author: Marc Racicot
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Computers
Languages : en
Pages : 108
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Book Description
What is Multi View Three Dimensional Reconstruction 3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images from 3D scenes. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: 3D Reconstruction from Multiple Images Chapter 2: Fundamental Matrix (Computer Vision) Chapter 3: Triangulation (Computer Vision) Chapter 4: Perspective-n-Point Chapter 5: Image Stitching Chapter 6: Active Contour Model Chapter 7: Bundle Adjustment Chapter 8: Scale-Invariant Feature Transform Chapter 9: 3D Object Recognition Chapter 10: Camera Auto-Calibration (II) Answering the public top questions about multi view three dimensional reconstruction. (III) Real world examples for the usage of multi view three dimensional reconstruction in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Multi View Three Dimensional Reconstruction.
Author: Conglin Huang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Amit Roy-Chowdhury
Publisher: Springer Nature
ISBN: 3031018109
Category : Computers
Languages : en
Pages : 99
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Book Description
Being able to recover the shape of 3D deformable surfaces from a single video stream would make it possible to field reconstruction systems that run on widely available hardware without requiring specialized devices. However, because many different 3D shapes can have virtually the same projection, such monocular shape recovery is inherently ambiguous. In this survey, we will review the two main classes of techniques that have proved most effective so far: The template-based methods that rely on establishing correspondences with a reference image in which the shape is already known, and non-rigid structure-from-motion techniques that exploit points tracked across the sequences to reconstruct a completely unknown shape. In both cases, we will formalize the approach, discuss its inherent ambiguities, and present the practical solutions that have been proposed to resolve them. To conclude, we will suggest directions for future research. Table of Contents: Introduction / Early Approaches to Non-Rigid Reconstruction / Formalizing Template-Based Reconstruction / Performing Template-Based Reconstruction / Formalizing Non-Rigid Structure from Motion / Performing Non-Rigid Structure from Motion / Future Directions
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 84
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Book Description
Author: Matthieu Salzmann
Publisher: Morgan & Claypool Publishers
ISBN: 160845584X
Category : Technology & Engineering
Languages : en
Pages : 113
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Book Description
Being able to recover the shape of 3D deformable surfaces from a single video stream would make it possible to field reconstruction systems that run on widely available hardware without requiring specialized devices. However, because many different 3D shapes can have virtually the same projection, such monocular shape recovery is inherently ambiguous. In this survey, we will review the two main classes of techniques that have proved most effective so far: The template-based methods that rely on establishing correspondences with a reference image in which the shape is already known, and non-rigid structure-from-motion techniques that exploit points tracked across the sequences to reconstruct a completely unknown shape. In both cases, we will formalize the approach, discuss its inherent ambiguities, and present the practical solutions that have been proposed to resolve them. To conclude, we will suggest directions for future research. Table of Contents: Introduction / Early Approaches to Non-Rigid Reconstruction / Formalizing Template-Based Reconstruction / Performing Template-Based Reconstruction / Formalizing Non-Rigid Structure from Motion / Performing Non-Rigid Structure from Motion / Future Directions
