New Trends In Shape Modelling And Approximation Methods PDF Download
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Author | : Driss Sbibih |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2024-09-21 |
Genre | : Mathematics |
ISBN | : 9783031627149 |
Download New Trends in Shape Modelling and Approximation Methods Book in PDF, ePub and Kindle
This book presents recent research results from a selection of the talks presented in the international symposium “New Trends in Approximation and Applications”, held at Oujda, Morocco, in June 2022. The various chapters describe developments in approximation and its different applications including approximation methods in Numerical Analysis, curves and surfaces in CAGD, interpolation and smoothing, shape modelling and computational topology, subdivision schemes and applications, wavelets, and multiresolution methods. The book is addressed to researchers in all of these areas as well as in general mathematical modelling.
Author | : Michael Breuß |
Publisher | : Springer Science & Business Media |
Total Pages | : 510 |
Release | : 2013-04-04 |
Genre | : Mathematics |
ISBN | : 3642341411 |
Download Innovations for Shape Analysis Book in PDF, ePub and Kindle
The concept of 'shape' is at the heart of image processing and computer vision, yet researchers still have some way to go to replicate the human brain's ability to extrapolate meaning from the most basic of outlines. This volume reflects the advances of the last decade, which have also opened up tough new challenges in image processing. Today's applications require flexible models as well as efficient, mathematically justified algorithms that allow data processing within an acceptable timeframe. Examining important topics in continuous-scale and discrete modeling, as well as in modern algorithms, the book is the product of a key seminar focused on innovations in the field. It is a thorough introduction to the latest technology, especially given the tutorial style of a number of chapters. It also succeeds in identifying promising avenues for future research. The topics covered include mathematical morphology, skeletonization, statistical shape modeling, continuous-scale shape models such as partial differential equations and the theory of discrete shape descriptors. Some authors highlight new areas of enquiry such as partite skeletons, multi-component shapes, deformable shape models, and the use of distance fields. Combining the latest theoretical analysis with cutting-edge applications, this book will attract both academics and engineers.
Author | : Armin Iske |
Publisher | : Springer Science & Business Media |
Total Pages | : 389 |
Release | : 2006-12-13 |
Genre | : Mathematics |
ISBN | : 3540465510 |
Download Algorithms for Approximation Book in PDF, ePub and Kindle
Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection of papers from world experts in a broad variety of relevant applications, including pattern recognition, machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, tomography, signal and image processing. It documents recent theoretical developments which have lead to new trends in approximation, it gives important computational aspects and multidisciplinary applications, thus making it a perfect fit for graduate students and researchers in science and engineering who wish to understand and develop numerical algorithms for the solution of their specific problems. An important feature of the book is that it brings together modern methods from statistics, mathematical modelling and numerical simulation for the solution of relevant problems, with a wide range of inherent scales. Contributions of industrial mathematicians, including representatives from Microsoft and Schlumberger, foster the transfer of the latest approximation methods to real-world applications.
Author | : Marie-Paule Cani |
Publisher | : Springer Nature |
Total Pages | : 81 |
Release | : 2022-05-31 |
Genre | : Mathematics |
ISBN | : 3031795342 |
Download Interactive Shape Design Book in PDF, ePub and Kindle
Providing an intuitive modeling system, which would enable us to communicate about any free-form shape we have in mind at least as quickly as with real-world tools, is one of the main challenges of digital shape design. The user should ideally be able to create, deform, and progressively add details to a shape, without being aware of the underlying mathematical representation nor being tied by any constraint on the geometrical or topological nature of the model. This book presents the field of interactive shape design from this perspective. Since interactively creating a shape builds on the humans ability of modeling by gesture, we note that the recent advances in interactive shape design can be classified as those that rely on sculpting as opposed to sketching metaphors. Our synthetic presentation of these strategies enables us to compare the different families of solutions, discuss open issues, and identify directions for future research. Table of Contents: Introduction / Sculpting Metaphors / Sketching Systems / Future Directions: Modeling by Gesture
Author | : Ke Chen |
Publisher | : Springer Nature |
Total Pages | : 1981 |
Release | : 2023-02-24 |
Genre | : Mathematics |
ISBN | : 3030986616 |
Download Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging Book in PDF, ePub and Kindle
This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, and nonlinear optimization, and provides the basis of high-resolution imaging through geometry and variational models. Besides, optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning. No other framework can provide comparable accuracy and precision to imaging and vision. Written by leading researchers in imaging and vision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists.
Author | : Armin Iske |
Publisher | : Springer |
Total Pages | : 389 |
Release | : 2009-09-02 |
Genre | : Mathematics |
ISBN | : 9783540822448 |
Download Algorithms for Approximation Book in PDF, ePub and Kindle
Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection of papers from world experts in a broad variety of relevant applications, including pattern recognition, machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, tomography, signal and image processing. It documents recent theoretical developments which have lead to new trends in approximation, it gives important computational aspects and multidisciplinary applications, thus making it a perfect fit for graduate students and researchers in science and engineering who wish to understand and develop numerical algorithms for the solution of their specific problems. An important feature of the book is that it brings together modern methods from statistics, mathematical modelling and numerical simulation for the solution of relevant problems, with a wide range of inherent scales. Contributions of industrial mathematicians, including representatives from Microsoft and Schlumberger, foster the transfer of the latest approximation methods to real-world applications.
Author | : Nadia Magnenat-Thalmann |
Publisher | : |
Total Pages | : 332 |
Release | : 1991-09-05 |
Genre | : Computers |
ISBN | : |
Download New Trends in Animation and Visualization Book in PDF, ePub and Kindle
Based on presentations at a graduate course in scientific visualization in Lausanne, Switzerland, 19 chapters discuss recent advances in computer graphics techniques for animation and visualization, visualization problems and applications, rendering natural phenomena, and computer animation. No index. Annotation copyrighted by Book News, Inc., Portland, OR
Author | : John Vince |
Publisher | : Springer Science & Business Media |
Total Pages | : 543 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1447101030 |
Download Advances in Modelling, Animation and Rendering Book in PDF, ePub and Kindle
"Advances in computer technology and developments such as the Internet provide a constant momentum to design new techniques and algorithms to support computer graphics. Modelling, animation and rendering remain principal topics in the filed of computer graphics and continue to attract researchers around the world." This volume contains the papers presented at Computer Graphics International 2002, in July, at the University of Bradford, UK. These papers represent original research in computer graphics from around the world and cover areas such as: - Real-time computer animation - Image based rendering - Non photo-realistic rendering - Virtual reality - Avatars - Geometric and solid modelling - Computational geometry - Physically based modelling - Graphics hardware architecture - Data visualisation - Data compression The focus is on the commercial application and industrial use of computer graphics and digital media systems.
Author | : Scott A. Sisson |
Publisher | : CRC Press |
Total Pages | : 513 |
Release | : 2018-09-03 |
Genre | : Mathematics |
ISBN | : 1351643460 |
Download Handbook of Approximate Bayesian Computation Book in PDF, ePub and Kindle
As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and application of ABC methods. These simple, but powerful statistical techniques, take Bayesian statistics beyond the need to specify overly simplified models, to the setting where the model is defined only as a process that generates data. This process can be arbitrarily complex, to the point where standard Bayesian techniques based on working with tractable likelihood functions would not be viable. ABC methods finesse the problem of model complexity within the Bayesian framework by exploiting modern computational power, thereby permitting approximate Bayesian analyses of models that would otherwise be impossible to implement. The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techniques to analyse complex models in the modern world.
Author | : Ali Sadollah |
Publisher | : BoD – Books on Demand |
Total Pages | : 200 |
Release | : 2020-05-06 |
Genre | : Computers |
ISBN | : 1838807055 |
Download Recent Trends in Computational Intelligence Book in PDF, ePub and Kindle
Traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence (CI) offers solutions to complicated problems as well as reverse problems. The main feature of CI is adaptability, spanning the fields of machine learning and computational neuroscience. CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. This book aims to discuss the usage of CI for optimal solving of various applications proving its wide reach and relevance. Bounding of optimization methods and data mining strategies make a strong and reliable prediction tool for handling real-life applications.