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.

Download or read book 3D Computer Vision written by Christian Wöhler and published by Springer Science & Business Media. This book was released on 2012-07-23 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.

Download or read book Deep Learning Based Single View 3D Reconstruction written by Henry Smith and published by Salman Khan. This book was released on 2023-02-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Deep Learning-Based Single View 3D Reconstruction" is a research area that focuses on creating three-dimensional (3D) models of objects from a single two-dimensional (2D) image using deep learning algorithms. This technique has the potential to revolutionize fields such as computer vision, robotics, and virtual reality. The process of reconstructing 3D models from a single image involves several steps, including feature extraction, camera pose estimation, and depth estimation. Deep learning techniques, particularly convolutional neural networks (CNNs), have shown great promise in improving the accuracy and efficiency of these steps. The use of deep learning in single view 3D reconstruction has several advantages over traditional methods, including the ability to learn and generalize complex features and the ability to handle noisy or incomplete data. Additionally, deep learning techniques can be trained on large datasets, allowing for better generalization and improved performance. Henry Smith is not a known author in this field of study, but there are many researchers and experts working on this topic, including David Novotny, Jiri Sedlar, Andrea Vedaldi, and Kostas Daniilidis, among others.

Download or read book An Introduction to 3D Computer Vision Techniques and Algorithms written by Boguslaw Cyganek and published by John Wiley & Sons. This book was released on 2011-08-10 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model. This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; explain scale-space vision, as well as space reconstruction and multiview integration; demonstrate a variety of practical applications for 3D surface imaging and analysis; provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.

Download or read book 3 D Surface Geometry and Reconstruction Developing Concepts and Applications written by Chandra Pati, Umesh and published by IGI Global. This book was released on 2012-02-29 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides developers and scholars with an extensive collection of research articles in the expanding field of 3D reconstruction, investigating the concepts, methodologies, applications and recent developments in the field of 3D reconstruction"--

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.

Download or read book Advances in Computational Vision and Medical Image Processing written by Joao Tavares and published by Springer Science & Business Media. This book was released on 2008-12-21 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.

Download or read book 3D Computer Vision written by Christian Wöhler and published by Springer Science & Business Media. This book was released on 2009-07-28 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides an introduction to the foundations of three-dimensional c- puter vision and describes recent contributions to the ?eld, which are of methodical and application-speci?c nature. Each chapter of this work provides an extensive overview of the corresponding state of the art, into which a detailed description of new methods or evaluation results in application-speci?c systems is embedded. Geometric approaches to three-dimensional scene reconstruction (cf. Chapter 1) are primarily based on the concept of bundle adjustment, which has been developed more than 100 years ago in the domain of photogrammetry. The three-dimensional scene structure and the intrinsic and extrinsic camera parameters are determined such that the Euclidean backprojection error in the image plane is minimised, u- ally relying on a nonlinear optimisation procedure. In the ?eld of computer vision, an alternative framework based on projective geometry has emerged during the last two decades, which allows to use linear algebra techniques for three-dimensional scene reconstructionand camera calibration purposes. With special emphasis on the problems of stereo image analysis and camera calibration, these fairly different - proaches are related to each other in the presented work, and their advantages and drawbacks are stated. In this context, various state-of-the-artcamera calibration and self-calibration methods as well as recent contributions towards automated camera calibration systems are described. An overview of classical and new feature-based, correlation-based, dense, and spatio-temporal methods for establishing point c- respondences between pairs of stereo images is given.

Download or read book A Framework for Realtime 3 D Reconstruction by Space Carving Using Graphics Hardware written by Christian Nitschke and published by diplom.de. This book was released on 2007-03-05 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 [...]

Download or read book Cartilage Tissue and Knee Joint Biomechanics written by Amirsadegh Rezazadeh Nochehdehi and published by Elsevier. This book was released on 2023-09-18 with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cartilage, Tissue and Knee Joint Biomechanics: Fundamentals, Characterization and Modelling is a cutting-edge multidisciplinary book specifically focused on modeling, characterization and related clinical aspects. The book takes a comprehensive approach towards mechanics, fundamentals, morphology and properties of Cartilage Tissue and Knee Joints. Leading researchers from health science, medical technologists, engineers, academics, government, and private research institutions across the globe have contributed to this book. This book is a very valuable resource for graduates and postgraduates, engineers and research scholars. The content also includes comprehensive real-world applications. As a reference for the total knee arthroplasty, this book focuses deeply on existing related theories (including: histology, design, manufacturing and clinical aspects) to assist readers in solving fundamental and applied problems in biomechanical and biomaterials characterization, modeling and simulation of human cartilages and cells. For biomedical engineers dealing with implants and biomaterials for knee joint injuries, this book will guide you in learning the knee anatomy, range of motion, surgical procedures, physiological loading and boundary conditions, biomechanics of connective soft tissues, type of injuries, and more. Provides a comprehensive resource on the knee joint and its connective soft tissues; content included spans biomechanics, biomaterials, biology, anatomy, imaging and surgical procedure Covers ISO and FDA based regulatory control and compliance in the manufacturing process Includes discussions on the relationship between knee anatomical parameters and knee biomechanics

Download or read book AI Methods and Applications in 3D Technologies written by Roumen Kountchev (Deceased) and published by Springer Nature. This book was released on with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Hoiem and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions

Download or read book Robust Machine Vision for Service Robotics written by Sorin Mihai Grigorescu and published by . This book was released on 2010 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis the vision architecture ROVIS (RObust machine VIsion for Service robotics ) is suggested. The purpose of the architecture is to improve the robustness and accuracy of visual perceptual capabilities of service robotic systems. In comparison to traditional industrial robot vision where the working environment is predefined, service robots have to cope with variable illumination conditions and cluttered scenes. The key concept for robustness in this thesis is the inclusion of feedback structures within the image processing operations and between the components of ROVIS. Using this approach a consistent processing of visual data is achieved.Specific for the suggested vision system are the novel methods used in two important areas of ROVIS: definition of an image ROI, on which further image processing algorithms are to be applied, and robust object recognition for reliable 3D object reconstruction. The ROI definition process, build around the well known "bottom-up top-down" framework, uses either pixel level information to construct a ROI bounding the object to be manipulated, or contextual knowledge from the working scene for bounding certain areas in the imaged environment. The object recognition and 3D reconstruction chain is developed for two cases: region and boundary based segmented objects. Since vision in ROVIS relies on image segmentation on each processing stage, that is image ROI definition and object recognition, robust segmentation methods had to be developed. As said before, the robustness of the proposed algorithms, and consequently of ROVIS, is represented by the inclusion of feedback mechanisms at image processing levels. The validation of the ROVIS system is performed through its integration in the overall control architecture of the service robot FRIEND. The performance of the proposed closed-loop vision methods is evaluated against their open-loop counterparts.

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 Mathematical Methods for Objects Reconstruction written by Emiliano Cristiani and published by Springer Nature. This book was released on 2023-07-31 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume collects several contributions to the INDAM workshop Mathematical Methods for Objects Reconstruction: from 3D Vision to 3D Printing held in Rome, February, 2021. The goal of the workshop was to discuss new methods and conceptual structures for managing these challenging problems. The chapters reflect this goal and the authors are academic researchers and some experts from industry working in the areas of 3D modeling, computer vision, 3D printing and/or developing new mathematical methods for these problems. The contributions present methodologies and challenges raised by the emergence of large-scale 3D reconstruction applications and low-cost 3D printers. The volume collects complementary knowledges from different areas of mathematics, computer science and engineering on research topics related to 3D printing, which are, so far, widely unexplored. Young researchers and future scientific leaders in the field of 3D data acquisition, 3D scene reconstruction, and 3D printing software development will find an excellent introduction to these problems and to the mathematical techniques necessary to solve them.

Download or read book 3D Imaging Multidimensional Signal Processing and Deep Learning written by Lakhmi C. Jain and published by Springer Nature. This book was released on 2022-07-01 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers devoted to the theoretical representation and analysis of the 3D images. The related topics included are 3D image transformation, 3D tensor image representation, 3D content generation technologies, 3D graphic information processing, VR content generation technologies, multi-dimensional image processing, dynamic and auxiliary 3D displays, VR/AR/MR device, VR camera technologies, 3D imaging technologies and applications, 3D computer vision, 3D video communications, 3D medical images processing and analysis, 3D remote sensing images and systems, deep learning for image restoration and recognition, neural networks for MD image processing, etc.

Download or read book Proceedings of 4th International Conference on Recent Trends in Machine Learning IoT Smart Cities and Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: