Mathematical Methods for Objects Reconstruction

Mathematical Methods for Objects Reconstruction
Author: Emiliano Cristiani
Publisher: Springer Nature
Total Pages: 185
Release: 2023-07-31
Genre: Mathematics
ISBN: 9819907764

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
Author: Frank Natterer
Publisher: SIAM
Total Pages: 226
Release: 2001-01-01
Genre: Computers
ISBN: 0898716225

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

Theory of Reconstruction from Image Motion

Theory of Reconstruction from Image Motion
Author: Stephen Maybank
Publisher: Springer Science & Business Media
Total Pages: 268
Release: 2012-12-06
Genre: Science
ISBN: 3642775578

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.

Handbook of Mathematical Methods in Imaging

Handbook of Mathematical Methods in Imaging
Author: Otmar Scherzer
Publisher: Springer Science & Business Media
Total Pages: 1626
Release: 2010-11-23
Genre: Mathematics
ISBN: 0387929193

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.

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis
Author: Milan Sonka
Publisher: Springer Science & Business Media
Total Pages: 448
Release: 2004-09-20
Genre: Computers
ISBN: 3540226753

Medical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analysis.

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
Author: Vladislav Golyanik
Publisher: Springer Nature
Total Pages: 369
Release: 2020-06-04
Genre: Computers
ISBN: 3658305673

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
Author: Yuri M. Tsipenyuk
Publisher: Routledge
Total Pages: 480
Release: 2019-05-20
Genre: Science
ISBN: 1351427849

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.

Mathematical Methods in Computer Vision

Mathematical Methods in Computer Vision
Author: Peter J. Olver
Publisher: Springer Science & Business Media
Total Pages: 176
Release: 2003-10
Genre: Business & Economics
ISBN: 9780387004976

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

PHYSICAL METHODS, INSTRUMENTS AND MEASUREMENTS – Volume III

PHYSICAL METHODS, INSTRUMENTS AND MEASUREMENTS – Volume III
Author: Yuri Mikhailovich Tsipenyuk
Publisher: EOLSS Publications
Total Pages: 436
Release: 2009-04-15
Genre:
ISBN: 1905839561

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
Author: Nuno Miguel Fonseca Ferreira
Publisher: Springer
Total Pages: 311
Release: 2014-08-18
Genre: Technology & Engineering
ISBN: 9400771835

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.