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Three Dimensional Stereo Reconstruction And Sensor Registration With Application To The Development Of A Multi Sensor Database
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Book Synopsis Three-dimensional Stereo Reconstruction and Sensor Registration with Application to the Development of a Multi-sensor Database by : William F. Oberle
Download or read book Three-dimensional Stereo Reconstruction and Sensor Registration with Application to the Development of a Multi-sensor Database written by William F. Oberle and published by . This book was released on 2002 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report discusses efforts undertaken at the U.S. Army Research Laboratory (ARL), which support research in robotic perception. The efforts include collaborative work with the National Institute of Standards and Technology to develop a multi-sensor (laser radar LADAR, navigation and stereoscopic video (stereo) database with ground truth for use by the robotics research community. ARL's efforts are focused on stereo. The report documents procedures for determining the transformations between the cameras of the stereo system and the transformations between the camera system and other sensor, vehicle, and world coordinate systems. Results indicate that the measured stereo and ladar data are susceptible to large errors that affect the accuracy of the calculated transformations.
Book Synopsis Three-dimensional Stereo Reconstruction and Sensor Registration with Application to the Development of a Multi-sensor Database by :
Download or read book Three-dimensional Stereo Reconstruction and Sensor Registration with Application to the Development of a Multi-sensor Database written by and published by . This book was released on 2002 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report discusses efforts undertaken at the U.S. Army Research Laboratory (ARL), which support research in robotic perception. The efforts include collaborative work with the National Institute of Standards and Technology to develop a multi-sensor (laser radar LADAR, navigation and stereoscopic video (stereo) database with ground truth for use by the robotics research community. ARL's efforts are focused on stereo. The report documents procedures for determining the transformations between the cameras of the stereo system and the transformations between the camera system and other sensor, vehicle, and world coordinate systems. Results indicate that the measured stereo and ladar data are susceptible to large errors that affect the accuracy of the calculated transformations.
Download or read book Stereo Vision written by Asim Bhatti and published by IntechOpen. This book was released on 2008-11-01 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book comprehensively covers almost all aspects of stereo vision. In addition reader can find topics from defining knowledge gaps to the state of the art algorithms as well as current application trends of stereo vision to the development of intelligent hardware modules and smart cameras. It would not be an exaggeration if this book is considered to be one of the most comprehensive books published in reference to the current research in the field of stereo vision. Research topics covered in this book makes it equally essential and important for students and early career researchers as well as senior academics linked with computer vision.
Book Synopsis 3D Imaging, Analysis and Applications by : Nick Pears
Download or read book 3D Imaging, Analysis and Applications written by Nick Pears and published by Springer Science & Business Media. This book was released on 2012-05-22 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D Imaging, Analysis and Applications brings together core topics, both in terms of well-established fundamental techniques and the most promising recent techniques in the exciting field of 3D imaging and analysis. Many similar techniques are being used in a variety of subject areas and applications and the authors attempt to unify a range of related ideas. With contributions from high profile researchers and practitioners, the material presented is informative and authoritative and represents mainstream work and opinions within the community. Composed of three sections, the first examines 3D imaging and shape representation, the second, 3D shape analysis and processing, and the last section covers 3D imaging applications. Although 3D Imaging, Analysis and Applications is primarily a graduate text, aimed at masters-level and doctoral-level research students, much material is accessible to final-year undergraduate students. It will also serve as a reference text for professional academics, people working in commercial research and development labs and industrial practitioners.
Book Synopsis Advances in Photometric 3D-Reconstruction by : Jean-Denis Durou
Download or read book Advances in Photometric 3D-Reconstruction written by Jean-Denis Durou and published by Springer Nature. This book was released on 2020-09-16 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis 3D Surface Reconstruction by : Francesco Bellocchio
Download or read book 3D Surface Reconstruction written by Francesco Bellocchio and published by Springer Science & Business Media. This book was released on 2012-10-28 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Recent Advances in 3D Imaging, Modeling, and Reconstruction by : Voulodimos, Athanasios
Download or read book Recent Advances in 3D Imaging, Modeling, and Reconstruction written by Voulodimos, Athanasios and published by IGI Global. This book was released on 2020-02-28 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds by : Vladislav Golyanik
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).
Book Synopsis Automatic Reconstruction of Textured 3D Models by : Pitzer, Benjamin
Download or read book Automatic Reconstruction of Textured 3D Models written by Pitzer, Benjamin and published by KIT Scientific Publishing. This book was released on 2015-03-23 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three dimensional modeling and visualization of environments is an increasingly important problem. This work addresses the problem of automatic 3D reconstruction and we present a system for unsupervised reconstruction of textured 3D models in the context of modeling indoor environments. We present solutions to all aspects of the modeling process and an integrated system for the automatic creation of large scale 3D models.
Book Synopsis A Generalized Multi-sensor 3D Image Registration and Data Fusion Method Using a Multi-resolution Approach by : Carlos Bejar Colonia
Download or read book A Generalized Multi-sensor 3D Image Registration and Data Fusion Method Using a Multi-resolution Approach written by Carlos Bejar Colonia and published by . This book was released on 2007 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently surveillance and Automatic Target Recognition (ATR) applications have been increasing as the cost of computing power, needed to process the massive amount of information, keeps falling. Designing and implementing state-of-the-art electro-optical imaging systems to provide advanced surveillance capabilities involves integration of several technologies (i.e. precise optics, cameras, and image-computer vision algorithms for data fusion) into a programmable system. Multi-sensor fusion and integration refers to the combination of data collected from multiple sensors to provide more reliable and accurate information. Registration is the fundamental and complex process of aligning the collected data before the fusion. Several techniques for image registration have been proposed in the literature, but with limited success. In particular, one of the major limitations of existing methods is their lack of accuracy and efficiency. In addition many of these methods suffer from being applications specific. To the best of our knowledge there is no known accurate method in the literature that (a) can work under any scene circumstances/conditions and that (b) can be generalized and extended from a 2Dimensional to a 3-Dimensional space. In this research an efficient and accurate automated image registration with applications to Multi-sensor 3D LADAR imaging is presented. As we show here, the proposed approach is two-fold. First, comparison and matching of scene image/volume small patches of two overlapping 2-D or 3-D data is performed. We show here how the size of the patches is optimally derived. Second, 2D and 3-D Wavelet transforms are applied to these resulting small similar scene patches to extract a number of matching feature points. We show that the advantages of the proposed technique includes its computational efficiency, in comparison to existing methods, and its accuracy in detecting the necessary matching points, which both constitute the most fundamental/crucial but also challenging components of any data fusion/registration system. Finally, demonstration of the theories, analyses, proof of correctness behind the proposed techniques, implementation, and experimental results are presented to show the power and potential of the proposed generalized method that is extendable from 2D to 3D.
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Improving the Accuracy of 3-D Reconstruction in Robotic Vision Applications by : Yuanzheng Gong
Download or read book Improving the Accuracy of 3-D Reconstruction in Robotic Vision Applications written by Yuanzheng Gong and published by . This book was released on 2016 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three-dimensional (3D) surface reconstruction is a process for retrieving the 3D shape and appearance of real objects or scenes. The generated 3D point clouds can be used in many fields, including entertainment, measurement, design, reverse engineering, homeland security and {\it etc}. Over the past decades, 3D reconstruction has been widely used in clinical diagnosis and surgical treatment of diseases, such as X-ray, ultrasound, computed tomography (CT) and magnetic resonance imaging (MRI). However, all of these technologies are radiography-based volumetric 3D reconstruction instead of 3D surface reconstruction. With the growing need of tissue texture information for clinical purposes, the 3D reconstruction based on endoscopic images plays a more vital role than ever, especially in tumor diagnosis and surveillance of esophagus, lung, stomach, bladder and etc. In this work, new algorithms were developed to solve specific 3D reconstruction problems in biomedical applications. To reconstruct the 3D internal surface of a human organ, such as bladder or stomach, a sequence of 2D endoscopic images were captured by rotating and moving the scope around inside of the organs. This 3D reconstruction solely based on images is called Structure-from-Motion (SfM). To overcome the problems of insufficient features in medical images and short camera baselines, the camera poses were initially estimated by constraining the surface on a spherical shape at the first step. The more realistic organ surface was then reconstructed by releasing the spherical constraints. Extra features were built to handle multiple scanning videos and recover the physical scale of the 3D surface with reference lesion target. To reduce the human error and surgical operating time in removing the tumor/cancer in brain, a semi-automated surgical robotic system with 3D vision is being developed. By providing an accurate 3D surface model of the surgical field based on a RGB (red, green and blue) camera attached to the surgical tool, the robot could perform tedious operation of residual tumor tissue removal automatically. Camera position and orientation were also known throughout the surgery from the robotic system. This 3D reconstruction with known camera parameters is called Multi-view Stereo. Due to the mechanical limitation of robotic system, the camera pose parameters were with certain errors (tolerance). To utilize these inaccurate but bound constrained variables, Bound Constrained Bundle Adjustment (BCBA) algorithm was developed based on gradient projection to generate accurate 3D model efficiently. Besides biomedical applications, 3D computer vision is emerging in traditional industries, such as manufacture and quality control applications. To build a potential in-line 3D metrology tool for internal threads in automobile engine blocks, two 3D reconstruction algorithms were developed with forward-view and side-view cameras, respectively. Axial-stereo vision algorithm was proposed to create dense 3D point cloud of internal surface based on two forward-view images that are aligned on the optical axis. Feature-based panoramic 3D registration algorithm was developed to register different side-view image-generated 3D surface patches together, by taking advantage of the robustness and accuracy of SIFT features. Each side-view patch of the repeated geometry of a threaded hole was reconstructed by multi-view stereo. Comparing with traditional 3D point clouds registration algorithm Iterative Closest Point (ICP), our algorithm has the advantages of high-efficiency and high-accuracy, especially for the registration of repetitive geometries.
Book Synopsis Reconstruction and Analysis of 3D Scenes by : Martin Weinmann
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.
Book Synopsis Using Wireless Multimedia Sensor Networks for 3D Scene Asquisition and Reconstruction by : Anthony Tannouri
Download or read book Using Wireless Multimedia Sensor Networks for 3D Scene Asquisition and Reconstruction written by Anthony Tannouri and published by . This book was released on 2018 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the WMSNs are promising for different applications and fields, specially with the development of the IoT and cheap efficient camera sensors. The stereo vision is also very important for multiple purposes like Cinematography, games, Virtual Reality, Augmented Reality, etc. This thesis aim to develop a 3D scene reconstruction system that proves the concept of using multiple view stereo disparity maps in the context of WMSNs. Our work can be divided in three parts. The first one concentrates on studying all WMSNs applications, components, topologies, constraints and limitations. Adding to this stereo vision disparity map calculations methods in order to choose the best method(s) to make a 3d reconstruction on WMSNs with low cost in terms of complexity and power consumption. In the second part, we experiment and simulate different disparity map calculations on a couple of nodes by changing scenarios (indoor and outdoor), coverage distances, angles, number of nodes and algorithms. In the third part, we propose a tree-based network model to compute accurate disparity maps on multi-layer camera sensor nodes that meets the server needs to make a 3d scene reconstruction of the scene or object of interest. The results are acceptable and ensure the proof of the concept to use disparity maps in the context of WMSNs.
Book Synopsis Multimodal Three Dimensional Scene Reconstruction by :
Download or read book Multimodal Three Dimensional Scene Reconstruction written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this research is on building 3D representations of real world scenes and objects using different imaging sensors. Primarily range acquisition devices (such as laser scanners and stereo systems) that allow the recovery of 3D geometry, and multi-spectral image sequences including visual and thermal IR images that provide additional scene characteristics. The crucial technical challenge that we addressed is the automatic point-sets registration task. In this context our main contribution is the development of an optimization-based method at the core of which lies a unified criterion that solves simultaneously for the dense point correspondence and transformation recovery problems. The new criterion has a straightforward expression in terms of the datasets and the alignment parameters and was used primarily for 3D rigid registration of point-sets. However it proved also useful for feature-based multimodal image alignment. We derived our method from simple Boolean matching principles by approximation and relaxation. One of the main advantages of the proposed approach, as compared to the widely used class of Iterative Closest Point (ICP) algorithms, is convexity in the neighborhood of the registration parameters and continuous differentiability, allowing for the use of standard gradient-based optimization techniques. Physically the criterion is interpreted in terms of a Gaussian Force Field exerted by one point-set on the other. Such formulation proved useful for controlling and increasing the region of convergence, and hence allowing for more autonomy in correspondence tasks. Furthermore, the criterion can be computed with linear complexity using recently developed Fast Gauss Transform numerical techniques. In addition, we also introduced a new local feature descriptor that was derived from visual saliency principles and which enhanced significantly the performance of the registration algorithm. The resulting technique was subjected to a thorough experimental analysis that highlighted its strength and showed its limitations. Our current applications are in the field of 3D modeling for inspection, surveillance, and biometrics. However, since this matching framework can be applied to any type of data, that can be represented as N-dimensional point-sets, the scope of the method is shown to reach many more pattern analysis applications.
Book Synopsis Multi View Three Dimensional Reconstruction by : Fouad Sabry
Download or read book Multi View Three Dimensional Reconstruction written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-14 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Methods for Three-Dimensional Microscopy Reconstruction by : Gabor T. Herman
Download or read book Computational Methods for Three-Dimensional Microscopy Reconstruction written by Gabor T. Herman and published by Springer Science & Business Media. This book was released on 2014-01-29 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the same mathematical framework, leading to closely-related computational approaches, but the methodologies differ in detail and hence pose different challenges. The editors of this volume, Gabor T. Herman and Joachim Frank, are experts in the respective methodologies and present research at the forefront of biological imaging and structural biology. Computational Methods for Three-Dimensional Microscopy Reconstruction will serve as a useful resource for scholars interested in the development of computational methods for structural biology and cell biology, particularly in the area of 3D imaging and modeling.
