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Author: Daniel Knoblauch
Publisher:
ISBN: 9781124703541
Category :
Languages : en
Pages : 123
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Book Description
This dissertation introduces the concept of content-oriented 3D reconstruction from image streams. The presented research enables reconstruction algorithms to use content from different stages in the reconstruction pipeline to focus given resources to areas of interest. The content used can come from previous reconstruction results or input images and leads to focused reconstructions, region-of-interest refinements, regions of error extractions or input data filtering. In general content is used to improve reconstruction results by either focusing resources on target objects or filtering input or output data that reduces the quality of the reconstruction. Several case studies for content-oriented 3D reconstructions for two different reconstruction environments are introduced. These two environments consist of a real-time reconstruction used for tele-immersion and structure and motion used for reconstructions from aerial imagery. Information from the present frame and also from previous frames is used to focus the efforts on the reconstruction targets in the case of real-time reconstruction. This focusing is performed in two case studies including real-time stereo as well as volumetric visual hull reconstructions. In the case of the volumetric visual hull, a region-of-interest refinement using content from the initial reconstruction of each frame is introduced to further improve visual results. These approaches lead to high resolution avatar reconstructions at interactive rates. The developed techniques and algorithms were translated into a proof-of-concept system, allowing users to interact with remote collaborators and virtual worlds. Futhermore, content oriented error extraction and factorization for unconstraint dense correspondences and cameras is introduced in the structure and motion environment. This enables either filtering of erroneous results or localized improvements of the reconstruction. A frame decimation approach is introduced that filters the input streams based on their content to avoid ill-posed input data. Both approaches help to reduce errors in the used multi-view reconstructions pipeline. The presented research illustrates that content-based 3D reconstructions from image streams result in higher quality structure extraction while reducing the computational complexity, resulting in increased reconstruction speeds.
Author: Daniel Knoblauch
Publisher:
ISBN: 9781124703541
Category :
Languages : en
Pages : 123
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Book Description
This dissertation introduces the concept of content-oriented 3D reconstruction from image streams. The presented research enables reconstruction algorithms to use content from different stages in the reconstruction pipeline to focus given resources to areas of interest. The content used can come from previous reconstruction results or input images and leads to focused reconstructions, region-of-interest refinements, regions of error extractions or input data filtering. In general content is used to improve reconstruction results by either focusing resources on target objects or filtering input or output data that reduces the quality of the reconstruction. Several case studies for content-oriented 3D reconstructions for two different reconstruction environments are introduced. These two environments consist of a real-time reconstruction used for tele-immersion and structure and motion used for reconstructions from aerial imagery. Information from the present frame and also from previous frames is used to focus the efforts on the reconstruction targets in the case of real-time reconstruction. This focusing is performed in two case studies including real-time stereo as well as volumetric visual hull reconstructions. In the case of the volumetric visual hull, a region-of-interest refinement using content from the initial reconstruction of each frame is introduced to further improve visual results. These approaches lead to high resolution avatar reconstructions at interactive rates. The developed techniques and algorithms were translated into a proof-of-concept system, allowing users to interact with remote collaborators and virtual worlds. Futhermore, content oriented error extraction and factorization for unconstraint dense correspondences and cameras is introduced in the structure and motion environment. This enables either filtering of erroneous results or localized improvements of the reconstruction. A frame decimation approach is introduced that filters the input streams based on their content to avoid ill-posed input data. Both approaches help to reduce errors in the used multi-view reconstructions pipeline. The presented research illustrates that content-based 3D reconstructions from image streams result in higher quality structure extraction while reducing the computational complexity, resulting in increased reconstruction speeds.
Author: Bullinger, Sebastian
Publisher: KIT Scientific Publishing
ISBN: 373151012X
Category : Computers
Languages : en
Pages : 194
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Book Description
"This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation and multiple view geometry methods. The MSfM pipeline tracks two-dimensional object shapes on pixel level to determine object specific feature correspondences, in order to reconstruct 3D object shapes as well as 3D object motion trajectories" -- Publicaciones de Arquitectura y Arte.
Author: Michael Glenn Sittig
Publisher:
ISBN:
Category :
Languages : en
Pages :
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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
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: 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: Takashi Matsuyama
Publisher: Springer Science & Business Media
ISBN: 1447141202
Category : Computers
Languages : en
Pages : 353
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Book Description
This book presents a broad review of state-of-the-art 3D video production technologies and applications. The text opens with a concise introduction to the field, before examining the design and calibration methods for multi-view camera systems, including practical implementation technologies. A range of algorithms are then described for producing 3D video from video data. A selection of 3D video applications are also demonstrated. Features: describes real-time synchronized multi-view video capture, and object tracking with a group of active cameras; discusses geometric and photometric camera calibration, and 3D video studio design with active cameras; examines 3D shape and motion reconstruction, texture mapping and image rendering, and lighting environment estimation; demonstrates attractive 3D visualization, visual contents analysis and editing, 3D body action analysis, and data compression; highlights the remaining challenges and the exciting avenues for future research in 3D video technology.
Author: Olaf Kähler
Publisher:
ISBN: 9783941274259
Category :
Languages : en
Pages : 186
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Book Description
Author: Dr.Raghavender K.V
Publisher: Archers & Elevators Publishing House
ISBN: 8119385306
Category : Antiques & Collectibles
Languages : en
Pages : 55
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Book Description
Author: Frederica Darema
Publisher: Springer Nature
ISBN: 3031279867
Category : Computers
Languages : en
Pages : 937
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Book Description
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).
