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Author: Prakash Duraisamy
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 78
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Book Description
Author: Prakash Duraisamy
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 78
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Book Description
Author: Martin Weinmann
Publisher: Springer
ISBN: 3319292463
Category : Computers
Languages : en
Pages : 250
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Book Description
This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene. For each of these components, the book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the-art techniques. Topics and features: reviews techniques for the acquisition of 3D point cloud data and for point quality assessment; explains the fundamental concepts for extracting features from 2D imagery and 3D point cloud data; proposes an original approach to keypoint-based point cloud registration; discusses the enrichment of 3D point clouds by additional information acquired with a thermal camera, and describes a new method for thermal 3D mapping; presents a novel framework for 3D scene analysis.
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: 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: Haotian Xu
Publisher:
ISBN:
Category : Cities and towns
Languages : en
Pages : 86
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Book Description
3D urban reconstruction is an active research area which is significant for many applications, such as virtual tours and urban planning. 3D facade reconstruction is a fundamental task in this research area. 3D real-time LiDAR is an ideal choice for capturing the 3D data in large-scale 3D urban reconstruction because of its fast working speed and mobility. However, the resulting 3D point cloud is very sparse and is not directly suitable for 3D reconstruction. In this paper, we aim to provide a new method for 3D facade reconstruction, which is based on the fusion of 3D terrestrial LiDAR and images. Our novelty lies in the extraction of semantic information from images and a state-of-the-art depth completion method used to estimate the missing depth information in LiDAR scans. The basic idea of our 3D facade reconstruction method is an iterative optimization process of sparse depth maps. More specifically, the input LiDAR point cloud is first converted to a depth map of the input image. Then, facade elements made of glass (e.g., windows) are extracted by using an instance segmentation technique. Once these elements are located, their exact depth values can be estimated by using weak architectural constraints. Finally, a data-driven depth completion methods based on CNN is used for predicting the rest of missing depth data in the semi-dense depth map, which generates the final completed dense depth map. Besides, we present a new dataset used for 3D facade reconstruction. The dataset contains LiDAR scans and images of the 15 different facades in the City Campus of the University of Auckland. All the 2D and 3D data in this dataset are calibrated. The proposed 3D facade reconstruction method was evaluated on this new dataset. The experimental results show that our approach can generate photorealistic 3D reconstruction models for some particular styles of facades. Also, our method is able to identify facade elements such as windows and doors to enhance 3D models of buildings semantically.
Author: Christian Nitschke
Publisher: diplom.de
ISBN: 3956362012
Category : Technology & Engineering
Languages : en
Pages : 153
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Book Description
Inhaltsangabe:Introduction: Reconstruction of real-world scenes from a set of multiple images is a topic in Computer Vision and 3D Computer Graphics with many interesting applications. There is a relation to Augmented and Mixed Reality (AR/MR), Computer-Supported Collaborative Work (CSCW), Computer-Aided industrial/architectural Design (CAD), modeling of the real-world (e.g. computer games, scenes/effects in movies), entertainment (e.g. 3D TV/Video) and recognition/analyzing of real-world characteristics by computer systems and robots. There exists a powerful algorithm theory for shape reconstruction from arbitrary viewpoints, called shape from photo-consistency. However, it is computationally expensive and hence can not be used with applications in the field of 3D video or CSCW as well as interactive 3D model creation. Attempts have been made to achieve real-time framerates using PC cluster systems. While these provide enough performance they are also expensive and less flexible. Approaches that use GPU hardware-acceleration on single workstations achieve interactive framerates for novel-view synthesis, but do not provide an explicit volumetric representation of the whole scene. The proposed approach shows the efforts in developing a GPU hardware-accelerated framework for obtaining the volumetric photo hull of a dynamic 3D scene as seen from multiple calibrated cameras. High performance is achieved by employing a shape from silhouette technique in advance to obtain a tight initial volume for shape from photo-consistency. Also several speed-up techniques are presented to increase efficiency. Since the entire processing is done on a single PC, the framework can be applied to mobile setups, enabling a wide range of further applications. The approach is explained using programmable vertex and fragment processors and compared to highly optimized CPU implementations. It is shown that the new approach can outperform the latter by more than one magnitude. The thesis is organized as follows: Chapter 1 contains an introduction, giving an overview with classification of related techniques, statement of the main problem, novelty of the proposed approach and its fields of application. Chapter 2 surveys related work in the area of dynamic scene reconstruction by shape from silhouette and shape from photo-consistency. The focus lies on high performance reconstruction and hardware-acceleration. Chapter 3 introduces the theoretical basis for the proposed [...]
Author: Voulodimos, Athanasios
Publisher: IGI Global
ISBN: 1522552952
Category : Computers
Languages : en
Pages : 396
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Book Description
3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes with many challenges, such as images becoming blurry by atmospheric turbulence, getting snowed with noise, or becoming damaged within foreign regions. It is imperative to remain well-informed with the latest research in this field. Recent Advances in 3D Imaging, Modeling, and Reconstruction is a collection of innovative research on the methods and common techniques of image reconstruction as well as the accuracy of these methods. Featuring coverage on a wide range of topics such as ray casting, holographic techniques, and machine learning, this publication is ideally designed for graphic designers, computer engineers, medical professionals, robotics engineers, city planners, game developers, researchers, academicians, and students.
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: 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: Marc Racicot
Publisher:
ISBN:
Category :
Languages : en
Pages :
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