Mathematical Methods for Objects Reconstruction

Mathematical Methods for Objects Reconstruction PDF Author: Emiliano Cristiani
Publisher: Springer Nature
ISBN: 9819907764
Category : Mathematics
Languages : en
Pages : 185

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Book Description
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.

Mathematical Methods for Objects Reconstruction

Mathematical Methods for Objects Reconstruction PDF Author: Emiliano Cristiani
Publisher: Springer Nature
ISBN: 9819907764
Category : Mathematics
Languages : en
Pages : 185

Get Book Here

Book Description
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.

Mathematical Methods in Image Reconstruction

Mathematical Methods in Image Reconstruction PDF Author: Frank Natterer
Publisher: SIAM
ISBN: 0898716225
Category : Computers
Languages : en
Pages : 226

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Book Description
This book provides readers with a superior understanding of the mathematical principles behind imaging.

Mathematical Methods in Image Reconstruction

Mathematical Methods in Image Reconstruction PDF Author: Frank Natterer
Publisher: SIAM
ISBN: 9780898718324
Category : Computers
Languages : en
Pages : 228

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Book Description
This book describes the state of the art of the mathematical theory and numerical analysis of imaging. Some of the applications covered in the book include computerized tomography, magnetic resonance imaging, emission tomography, electron microscopy, ultrasound transmission tomography, industrial tomography, seismic tomography, impedance tomography, and NIR imaging.

Handbook of Mathematical Methods in Imaging

Handbook of Mathematical Methods in Imaging PDF Author: Otmar Scherzer
Publisher: Springer Science & Business Media
ISBN: 0387929193
Category : Mathematics
Languages : en
Pages : 1626

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Book Description
The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.

Mathematical Methods in Computer Vision

Mathematical Methods in Computer Vision PDF Author: Peter J. Olver
Publisher: Springer Science & Business Media
ISBN: 9780387004976
Category : Business & Economics
Languages : en
Pages : 176

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Book Description
"Comprises some of the key work presented at two IMA Wokshops on Computer Vision during fall of 2000."--Pref.

Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds

Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds PDF Author: Vladislav Golyanik
Publisher: Springer Nature
ISBN: 3658305673
Category : Computers
Languages : en
Pages : 369

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Book Description
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).

Nuclear Methods in Science and Technology

Nuclear Methods in Science and Technology PDF Author: Yuri M. Tsipenyuk
Publisher: Routledge
ISBN: 1351427849
Category : Science
Languages : en
Pages : 480

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Book Description
The application of nuclear physics methods is now widespread throughout physics, chemistry, metallurgy, biology, clinical medicine, geology, and archaeology. Accelerators, reactors, and various instruments that have developed together with nuclear physics have often been found to offer the basis for increasingly productive and more sensitive analytical techniques. Nuclear Methods in Science and Technology provides scientists and engineers with a clear understanding of the basic principles of nuclear methods and their potential for applications in a wide range of disciplines. The first part of the book covers the major points of basic theory and experimental methods of nuclear physics, emphasizing concepts and simple models that give a feel for the behavior of real systems. Using many examples, the second part illustrates the extraordinary possibilities offered by nuclear methods. It covers the Mossbauer effect, slow neutron physics, activation analysis, radiography, nuclear geochronology, channeling effects, nuclear microprobe, and numerous other topics in modern applied nuclear physics. The book explores applications such as tomography, the use of short-lived isotopes in clinical diagnoses, and nuclear physics in ecology and agriculture. Where alternative nonnuclear analytical techniques are available, the author compares the relevant nuclear method, enabling readers to judge which technique may be most useful for them. Complete with a bibliography and extensive reference list for readers who want to delve deeper into a particular topic, this book applies various methods of nuclear physics to a wide range of disciplines.

Theory of Reconstruction from Image Motion

Theory of Reconstruction from Image Motion PDF Author: Stephen Maybank
Publisher: Springer Science & Business Media
ISBN: 3642775578
Category : Science
Languages : en
Pages : 268

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Book Description
The image taken by a moving camera changes with time. These image motions contain information about the motion of the camera and about the shapes of the objects in the field of view. There are two main types of image motion, finite displacements and image velocities. Finite displacements are described by the point correspondences between two images of the same scene taken from different positions. Image velocities are the velocities of the points in the image as they move over the projection surface. Reconstruction is the task of obtaining from the image-motions information about the camera motion or about the shapes of objects in the field of view. In this book the theory underlying reconstruction is described. Reconstruction from image motion is the subject matter of two different sci entific disciplines, photogrammetry and computer vision. In photogrammetry the accuracy of reconstruction is emphasised; in computer vision the emphasis is on methods for obtaining information from images in real time in order to guide a mechanical device such as a robot arm or an automatic vehicle. This book arises from recent work carried out in computer vision. Computer vision is a young field but it is developing rapidly. The earliest papers on reconstruction in the computer vision literature date back only to the mid 1970s. As computer vision develops, the mathematical techniques applied to the analysis of recon struction become more appropriate and more powerful.

PHYSICAL METHODS, INSTRUMENTS AND MEASUREMENTS – Volume III

PHYSICAL METHODS, INSTRUMENTS AND MEASUREMENTS – Volume III PDF Author: Yuri Mikhailovich Tsipenyuk
Publisher: EOLSS Publications
ISBN: 1905839561
Category :
Languages : en
Pages : 436

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Book Description
Physical Methods, Instruments and Measurements theme is a component of the Encyclopedia of Physical Sciences, Engineering and Technology Resources which is part of the global Encyclopedia of Life Support Systems (EOLSS), an integrated compendium of twenty Encyclopedias. The Theme provides a complete survey of the present status of our knowledge of modern physical instruments and measurements. It is organized in the following main topics: Measurements and Measurement Standards; Sources of Particles and Radiation, Detectors and Sensors; Imaging and Characterizing – Trace Element Analysis; Technology of Physical Experiments; Applications of Measurements and Instrumentation which are then expanded into multiple subtopics, each as a chapter. These four volumes are aimed at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.

Mathematical Methods in Engineering

Mathematical Methods in Engineering PDF Author: Nuno Miguel Fonseca Ferreira
Publisher: Springer
ISBN: 9400771835
Category : Technology & Engineering
Languages : en
Pages : 311

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Book Description
This book presents a careful selection of the contributions presented at the Mathematical Methods in Engineering (MME10) International Symposium, held at the Polytechnic Institute of Coimbra- Engineering Institute of Coimbra (IPC/ISEC), Portugal, October 21-24, 2010. The volume discusses recent developments about theoretical and applied mathematics toward the solution of engineering problems, thus covering a wide range of topics, such as: Automatic Control, Autonomous Systems, Computer Science, Dynamical Systems and Control, Electronics, Finance and Economics, Fluid Mechanics and Heat Transfer, Fractional Mathematics, Fractional Transforms and Their Applications, Fuzzy Sets and Systems, Image and Signal Analysis, Image Processing, Mechanics, Mechatronics, Motor Control and Human Movement Analysis, Nonlinear Dynamics, Partial Differential Equations, Robotics, Acoustics, Vibration and Control, and Wavelets.