Download or read book Towards Optimal Point Cloud Processing for 3D Reconstruction written by Guoxiang Zhang and published by Springer Nature. This book was released on 2022-06-03 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. It develops a 3D reconstruction system that produces accurate results by cascading multiple novel loop detection, sifting, and optimization methods. The authors offer a fast point cloud registration method that utilizes optimized randomness in random sample consensus for surface loop detection. The text also proposes two methods for surface-loop sifting. One is supported by a sparse-feature-based optimization graph. This graph is more robust to different scan patterns than earlier methods and can cope with tracking failure and recovery. The other is an offline algorithm that can sift loop detections based on their impact on loop optimization results and which is enabled by a dense map posterior metric for 3D reconstruction and mapping performance evaluation works without any costly ground-truth data. The methods presented in Towards Optimal Point Cloud Processing for 3D Reconstruction will be of assistance to researchers developing 3D modelling methods and to workers in the wide variety of fields that exploit such technology including metrology, geological animation and mass customization in smart manufacturing.
Download or read book Robust Methods for Dense Monocular Non Rigid 3D Reconstruction and Alignment of Point Clouds written by Vladislav Golyanik and published by Springer Nature. This book was released on 2020-06-04 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vladislav Golyanik proposes several new methods for dense non-rigid structure from motion (NRSfM) as well as alignment of point clouds. The introduced methods improve the state of the art in various aspects, i.e. in the ability to handle inaccurate point tracks and 3D data with contaminations. NRSfM with shape priors obtained on-the-fly from several unoccluded frames of the sequence and the new gravitational class of methods for point set alignment represent the primary contributions of this book. About the Author: Vladislav Golyanik is currently a postdoctoral researcher at the Max Planck Institute for Informatics in Saarbrücken, Germany. The current focus of his research lies on 3D reconstruction and analysis of general deformable scenes, 3D reconstruction of human body and matching problems on point sets and graphs. He is interested in machine learning (both supervised and unsupervised), physics-based methods as well as new hardware and sensors for computer vision and graphics (e.g., quantum computers and event cameras).
Download or read book Reconstruction and Analysis of 3D Scenes written by Martin Weinmann and published by Springer. This book was released on 2016-03-17 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Making 3D Point Cloud Reconstruction Computationally Efficient written by Chih-Hsiang Chang and published by . This book was released on 2016 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation covers the problem of 3D reconstruction of a scene from a number of images taken from that scene. Although this problem has been previously addressed in the computer vision literature, what differentiates this dissertation research from what has already been done is the computational efficiency aspect of various computer vision modules. The contributions made in this dissertation to the computational efficiency aspect of 3D reconstruction are published or submitted as five papers that appear as five chapters in this dissertation. Each chapter provides an abstract of the contribution made, an introduction and literature review, the methodology developed, the results obtained together with their discussions, and conclusion associated with that contribution. Chapter 1 targets the bundle adjustment module of 3D reconstruction where it is shown how a local bundle adjustment approach improves the computational complexity. In Chapter 2, a two- stage scheme is developed for camera pose estimation. The main advantage of this scheme is that the computation burden caused by the Levenberg-Marquardt optimization is avoided. Chapter 3 targets the frame selection and camera rotation registration aspects of 3D reconstruction. Initially, the translation vector is estimated by using the relative camera pose and 3D correspondences. Then, a rotation registration is considered to generate the camera rotation matrix. The developed approach reduces the re-projection error in each frame at a lower computational complexity compared to the conventional approach. Chapter 4 targets the computational efficiency aspect of the entire 3D reconstruction pipeline by providing a new absolute camera pose recovery approach in a computationally efficient manner. The experimental results show the developed pipeline generates lower re-projection errors and higher frame rates towards 3D reconstruction. Finally, in Chapter 5, the camera pose estimation is applied to the problem of vanishing point detection for camera orientation applications. A fast J-linkage algorithm is developed to perform vanishing point detection. Then, this algorithm is used to recover the camera rotation in a computationally efficient manner. The contributions presented in the chapters offer a computationally efficient framework towards making 3D reconstruction from video sequences feasible on laptop devices.
Download or read book Communications Signal Processing and Systems written by Qilian Liang and published by Springer. This book was released on 2018-06-07 with total page 2798 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together papers presented at the 2017 International Conference on Communications, Signal Processing, and Systems (ICCSP 2017), which was held on July 14–17, 2017 in Harbin, China. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications, signal processing and systems. It is aimed at undergraduate and graduate electrical engineering, computer science and mathematics students, researchers and engineers from academia and industry as well as government employees.
Download or read book Remote Sensed Data and Processing Methodologies for 3D Virtual Reconstruction and Visualization of Complex Architectures written by Diego Gonzalez-Aguilera and published by MDPI. This book was released on 2018-09-28 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Remote Sensed Data and Processing Methodologies for 3D Virtual Reconstruction and Visualization of Complex Architectures" that was published in Remote Sensing
Download or read book Towards Optimal 3D Reconstruction and Semantic Mapping written by Guoxiang Zhang and published by . This book was released on 2021 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D reconstruction and semantic mapping are of great importance for many tasks and applications, such as consumer robots, augmented reality, digital heritage, and autonomous vehicles. Despite the drastic advancements in solving the 3D reconstruction problem, it is still challenging to reconstruct accurate 3D models and create semantic maps. Within this dissertation, contributions are made to take steps closer towards optimal 3D reconstruction and semantic mapping. It is crucial to have an easy performance evaluation method for advancing 3D mapping systems. Thus, in Chapter 5, we propose dense map posterior (DMP) for 3D reconstruction and mapping performance evaluation that can work without any ground-truth data. With this metric, one can evaluate 3D mapping systems on any public or new data without worrying about the availability of ground-truth data captured by expensive and bulky equipment. We also show that the DMP can be used beyond the evaluation of final results. It can act as a supervisory figure-of-merit signal during 3D reconstruction processes. To improve 3D reconstruction results, we propose a novel 3D reconstruction system that corrects surface loops with sparse feature-based bundle adjustment. In the system, fast 3D surface-based loop detection is done by a GPU-accelerated random sample consensus algorithm with optimized randomness supported by fractional calculus, which is in Chapter 3. Then, to solve a low-precision problem in surface loop detection, in Chapter 4, an online method for loop sifting is proposed for real-time feedback to users. For the best 3D reconstruction performance, an offline method for loop sifting and majorization is proposed in Chapter 6. State-of-the-art performance is observed in experiments on public and our datasets. In Chapter 7, an exploration of semantic mapping is carried out. A simple and effective real-time 3D semantic mapping method is proposed. In addition, a benchmark suite with a dataset derived from the KITTI dataset
Download or read book Advances in Civil Function Structure and Industrial Architecture written by Qing Wang and published by CRC Press. This book was released on 2022-11-08 with total page 969 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Civil Function Structure and Industrial Architecture contains the Proceedings of 5th International Conference on Civil Function Structure and Industrial Architecture (CFSIA 2022), which was held on January 21-23, 2022, in Harbin, China. The Proceedings of CFSIA 2022 is intended to share scientific research results and cutting-edge technologies in the field of civil function structure and control engineering. Researchers, practitioners and academics in these disciplines will find the book useful. Over 90 papers are featured. Many topics are covered, but the contributions may be seen to fall into one of six broad themes of the conference, namely: (i) Engineering Structure (Engineering Advanced Technology, Engineering Structure and Seismic Resistance, High-rise Building and Large-span Structure, Bridge Engineering, Special Structure, Construction Technology, Monitoring and Control of Structure, Cartography and GIS, Concrete Structure, Construction and Control, etc.); (ii) Intelligent Building (Predictive Maintenance, Converged Networks, Wireless Retrofit, Biometric Integration, Computer Management System Engineering, Building Equipment Automatic Control System Engineering, etc.); (iii) Smart City (Intelligent Construction, Intelligent Transportation, Risk Management and Decision Making for Intelligent Construction, Intelligent Building Automation Control System, etc.); (iv) Structural Seismic Resistance (Structural Seismic Design, Earthquakes and Ground Motions, Building Site, Foundation and Basis, Principles of Structural Seismic Design Calculation, Seismic Shear Adjustment and Minimum Seismic Shear Requirements, etc.); (v) Monitoring and Testing (Steel Structure Stress Monitoring, Stress Change Monitoring for Large Construction Projects, Structural Health Monitoring, Foundation Pit Monitoring, Temperature Monitoring for Large Volume Concrete Pouring, etc.); (vi) Engineering Facility (Machinery Facility, Electrical Facility, Stationary Facility, Non-standard Facility, Compressor, Continuous Transmission Facility, etc.).
Download or read book Automatic Reconstruction of Industrial Installations Using Point Clouds and Images written by Tahir Rabbani Shah and published by . This book was released on 2006 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Telematics and Computing written by Miguel Félix Mata-Rivera and published by Springer Nature. This book was released on 2023-11-06 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Congress on Telematics and Computing, WITCOM 2023, held in Puerto Vallarta, Mexico, in November 2023. The 35 full papers presented in this volume were carefully reviewed and selected from 88 submissions. The papers are focused on the topics of artificial intelligence techniques, data science, blockchain, environment monitoring, cybersecurity, education, and software for communications protocols.
Download or read book Graph Spectral Image Processing written by Gene Cheung and published by John Wiley & Sons. This book was released on 2021-08-31 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph spectral image processing is the study of imaging data from a graph frequency perspective. Modern image sensors capture a wide range of visual data including high spatial resolution/high bit-depth 2D images and videos, hyperspectral images, light field images and 3D point clouds. The field of graph signal processing – extending traditional Fourier analysis tools such as transforms and wavelets to handle data on irregular graph kernels – provides new flexible computational tools to analyze and process these varied types of imaging data. Recent methods combine graph signal processing ideas with deep neural network architectures for enhanced performances, with robustness and smaller memory requirements. The book is divided into two parts. The first is centered on the fundamentals of graph signal processing theories, including graph filtering, graph learning and graph neural networks. The second part details several imaging applications using graph signal processing tools, including image and video compression, 3D image compression, image restoration, point cloud processing, image segmentation and image classification, as well as the use of graph neural networks for image processing.
Download or read book Enhancing Point Cloud Generation From Various Information Sources by Applying Geometry aware Folding Operation written by Yu Lin and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A plethora of cutting-edge computer vision and graphic applications, such as Augmented Reality (AR), Virtual Reality (VR), automatic vehicles, and robotics, require rapid creation and access to abundant 3D data. Among various 3D data representations, e.g., RGB images, depth images, or voxel grids, point cloud attracts considerable attention from the research community because it offers additional geometric, shape, and scale information in comparison with 2D images and demands less computational resource to process in contrast to other 3D representations, e.g., voxel grids, octree, or triangle meshes. Unfortunately, even with the increasing availability of 3D sensors, the size and variety of 3D point clouds datasets pale when compared to the vast size datasets of other representations. Therefore, it will benefit many applications if we can generate point clouds from other information sources. Point cloud generation is a sub-field of 3D reconstruction, which aims to generate a complete 3D object from other information sources. Conventional methods generally focus on 2D images and heavily rely on the knowledge of multi-view geometry, while multiple 2D views of a target 3D object usually are inaccessible in many real-world scenarios. On the contrary, recent deep learning approaches either dedicate to 3D representations with regular structures, such as voxel grids and octrees, and thus suffer from resolution and scalability issues, or unconsciously ignore the crucial 3D prior knowledge and lead to sub-optimal solutions. To address the aforementioned drawbacks, we explore the possibilities to improve the point cloud generation by developing advanced folding operations and geometry-aware (3D-prioraware) reconstruction networks in this dissertation. Specifically, we start with a novel point cloud generation framework TDPNet that reconstructs complete point clouds by employing a hierarchical manifold decoder and a collection of latent 3D prototypes. Later, we find that applying vanilla folding operation is insufficient for a realistic reconstruction, and using KMeans centroids as the prototype features is unstable and lacks interpretability. Inspired by these observations, we further introduce a novel framework equipped with a collection of Learnable Shape Primitives (L-SHAP), which encode the crucial 3D prior knowledge from training data through an additional folding operation. On the other hand, it’s beneficial to many applications if point clouds can be generated in a few-shot scenario. We tackle this problem by a novel few-shot generation framework FSPG, which simultaneously considers class-agnostic and class-specific 3D priors during the generation process. Finally, we observe that conventional folding operations are implemented by a simple shared-MLP, which increases training difficulty and limits the network’s modeling capability. In order to solve this problem, we incorporate the popular Transformer architecture into a novel attentional folding decoder AttnFold and introduce a Local Semantic Consistency (LSC) regularizer to further boost the model’s capability. Based on our research, we demonstrate that learning flexible data-driven 3D priors and adopting advanced folding operations are effective for point cloud generation under different problem settings.
Download or read book Intelligent Autonomous Systems 15 written by Marcus Strand and published by Springer. This book was released on 2018-12-31 with total page 985 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-15 conference, held in Baden-Baden, Germany, in June 2018. It brings together contributions from researchers, engineers and practitioners from all over the world on the main trends of robotics: navigation, path planning, robot vision, human detection, and robot design – as well as a wide range of applications. This installment of the conference reflects the rise of machine learning and deep learning in the robotics field, as employed in a variety of applications and systems. All contributions were selected using a rigorous peer-review process to ensure their scientific quality. The series of biennial IAS conferences was started in 1986: since then, it has become an essential venue for the robotics community.
Download or read book Cave Investigation written by Savas Karabulut and published by BoD – Books on Demand. This book was released on 2017-07-12 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cave investigation is one of the most interesting research field in natural and earth sciences, showing a rapid development with technological progress. It coincides with a number of scientific disciplines to address the early human histrory, habitats of living lives and specimens. This book will be useful to students and researchers as well as to earth scientists, archeologist, biologist, natural sciences, and other experts in a other related of disciplines. The volume consists of three sections sorted thematically, each focusing on a certain aspect. The book presents results on the determination and definition of caves discussed by means of geographic, geophysical, and geological applications. Geomorphometric analysis using GIS and laser scanning, the importance of electric tomography method in cave detection, the use of groundwater sources in agricultural areas, and the habitats of bats and species are studied on several cave studies.
Download or read book Remote Sensing and Geosciences for Archaeology written by Deodato Tapete and published by MDPI. This book was released on 2018-04-27 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Remote Sensing and Geosciences for Archaeology" that was published in Geosciences
Download or read book Virtual Heritage written by Erik Malcolm Champion and published by Ubiquity Press. This book was released on 2021-07-22 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtual heritage has been explained as virtual reality applied to cultural heritage, but this definition only scratches the surface of the fascinating applications, tools and challenges of this fast-changing interdisciplinary field. This book provides an accessible but concise edited coverage of the main topics, tools and issues in virtual heritage. Leading international scholars have provided chapters to explain current issues in accuracy and precision; challenges in adopting advanced animation techniques; shows how archaeological learning can be developed in Minecraft; they propose mixed reality is conceptual rather than just technical; they explore how useful Linked Open Data can be for art history; explain how accessible photogrammetry can be but also ethical and practical issues for applying at scale; provide insight into how to provide interaction in museums involving the wider public; and describe issues in evaluating virtual heritage projects not often addressed even in scholarly papers. The book will be of particular interest to students and scholars in museum studies, digital archaeology, heritage studies, architectural history and modelling, virtual environments.
Download or read book Proceedings of the 7th China High Resolution Earth Observation Conference CHREOC 2020 written by Liheng Wang and published by Springer Nature. This book was released on 2022-01-11 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the proceedings of the 7th China High-resolution Earth Observation Conference (CHREOC). The series conference of China High Resolution Earth Observation has become an influential academic event in the earth detection area, attracting more and more top experts and industry users of related fields. The CHREOCs focus on the popular topics including military-civilian integration, the One Belt and One Road project, the transformation of scientific research achievements. They also discuss the new ideas, new technologies, new methods, and new developments. The CHREOCs have effectively promoted high-level institutional mechanisms, technological innovation, and industrial upgrading in the high-resolution earth observation area, and extend the influences of the state-sponsored major projects.