Perspectives In Shape Analysis

Author : Michael Breuß,Alfred Bruckstein,Petros Maragos,Stefanie Wuhrer
Publisher : Springer
Page : 370 pages
File Size : 46,7 Mb
Release : 2016-09-30
Category : Mathematics
ISBN : 9783319247267

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Perspectives in Shape Analysis by Michael Breuß,Alfred Bruckstein,Petros Maragos,Stefanie Wuhrer Pdf

This book presents recent advances in the field of shape analysis. Written by experts in the fields of continuous-scale shape analysis, discrete shape analysis and sparsity, and numerical computing who hail from different communities, it provides a unique view of the topic from a broad range of perspectives. Over the last decade, it has become increasingly affordable to digitize shape information at high resolution. Yet analyzing and processing this data remains challenging because of the large amount of data involved, and because modern applications such as human-computer interaction require real-time processing. Meeting these challenges requires interdisciplinary approaches that combine concepts from a variety of research areas, including numerical computing, differential geometry, deformable shape modeling, sparse data representation, and machine learning. On the algorithmic side, many shape analysis tasks are modeled using partial differential equations, which can be solved using tools from the field of numerical computing. The fields of differential geometry and deformable shape modeling have recently begun to influence shape analysis methods. Furthermore, tools from the field of sparse representations, which aim to describe input data using a compressible representation with respect to a set of carefully selected basic elements, have the potential to significantly reduce the amount of data that needs to be processed in shape analysis tasks. The related field of machine learning offers similar potential. The goal of the Dagstuhl Seminar on New Perspectives in Shape Analysis held in February 2014 was to address these challenges with the help of the latest tools related to geometric, algorithmic and numerical concepts and to bring together researchers at the forefront of shape analysis who can work together to identify open problems and novel solutions. The book resulting from this seminar will appeal to researchers in the field of shape analysis, image and vision, from those who want to become more familiar with the field, to experts interested in learning about the latest advances.​

Author : Hamid Laga,Yulan Guo,Hedi Tabia,Robert B. Fisher,Mohammed Bennamoun
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 53,7 Mb
Release : 2019-01-07
Category : Mathematics
ISBN : 9781119405108

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3D Shape Analysis by Hamid Laga,Yulan Guo,Hedi Tabia,Robert B. Fisher,Mohammed Bennamoun Pdf

An in-depth description of the state-of-the-art of 3D shape analysis techniques and their applications This book discusses the different topics that come under the title of "3D shape analysis". It covers the theoretical foundations and the major solutions that have been presented in the literature. It also establishes links between solutions proposed by different communities that studied 3D shape, such as mathematics and statistics, medical imaging, computer vision, and computer graphics. The first part of 3D Shape Analysis: Fundamentals, Theory, and Applications provides a review of the background concepts such as methods for the acquisition and representation of 3D geometries, and the fundamentals of geometry and topology. It specifically covers stereo matching, structured light, and intrinsic vs. extrinsic properties of shape. Parts 2 and 3 present a range of mathematical and algorithmic tools (which are used for e.g., global descriptors, keypoint detectors, local feature descriptors, and algorithms) that are commonly used for the detection, registration, recognition, classification, and retrieval of 3D objects. Both also place strong emphasis on recent techniques motivated by the spread of commodity devices for 3D acquisition. Part 4 demonstrates the use of these techniques in a selection of 3D shape analysis applications. It covers 3D face recognition, object recognition in 3D scenes, and 3D shape retrieval. It also discusses examples of semantic applications and cross domain 3D retrieval, i.e. how to retrieve 3D models using various types of modalities, e.g. sketches and/or images. The book concludes with a summary of the main ideas and discussions of the future trends. 3D Shape Analysis: Fundamentals, Theory, and Applications is an excellent reference for graduate students, researchers, and professionals in different fields of mathematics, computer science, and engineering. It is also ideal for courses in computer vision and computer graphics, as well as for those seeking 3D industrial/commercial solutions.

Author : Sven J. Dickinson,Zygmunt Pizlo
Publisher : Springer Science & Business Media
Page : 505 pages
File Size : 53,6 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9781447151951

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Shape Perception in Human and Computer Vision by Sven J. Dickinson,Zygmunt Pizlo Pdf

This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods.

Author : Michael Breuß,Alfred Bruckstein,Petros Maragos
Publisher : Springer Science & Business Media
Page : 510 pages
File Size : 52,9 Mb
Release : 2013-04-04
Category : Mathematics
ISBN : 9783642341410

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Innovations for Shape Analysis by Michael Breuß,Alfred Bruckstein,Petros Maragos Pdf

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 : Juergen Gall,Peter Gehler,Bastian Leibe
Publisher : Springer
Page : 571 pages
File Size : 40,6 Mb
Release : 2015-10-06
Category : Computers
ISBN : 9783319249476

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Pattern Recognition by Juergen Gall,Peter Gehler,Bastian Leibe Pdf

This book constitutes the refereed proceedings of the 37th German Conference on Pattern Recognition, GCPR 2015, held in Aachen, Germany, in October 2015. The 45 revised full papers and one Young Researchers Forum presented were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on motion and reconstruction; mathematical foundations and image processing; biomedical image analysis and applications; human pose analysis; recognition and scene understanding.

Author : Ian L. Dryden,Kanti V. Mardia
Publisher : John Wiley & Sons
Page : 496 pages
File Size : 49,7 Mb
Release : 2016-06-28
Category : Mathematics
ISBN : 9781119072508

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Statistical Shape Analysis by Ian L. Dryden,Kanti V. Mardia Pdf

A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features. Examples include comparing brain shape in schizophrenia; investigating protein molecules in bioinformatics; and describing growth of organisms in biology. This book is a significant update of the highly-regarded `Statistical Shape Analysis’ by the same authors. The new edition lays the foundations of landmark shape analysis, including geometrical concepts and statistical techniques, and extends to include analysis of curves, surfaces, images and other types of object data. Key definitions and concepts are discussed throughout, and the relative merits of different approaches are presented. The authors have included substantial new material on recent statistical developments and offer numerous examples throughout the text. Concepts are introduced in an accessible manner, while retaining sufficient detail for more specialist statisticians to appreciate the challenges and opportunities of this new field. Computer code has been included for instructional use, along with exercises to enable readers to implement the applications themselves in R and to follow the key ideas by hands-on analysis. Statistical Shape Analysis: with Applications in R will offer a valuable introduction to this fast-moving research area for statisticians and other applied scientists working in diverse areas, including archaeology, bioinformatics, biology, chemistry, computer science, medicine, morphometics and image analysis .

Author : G. Richard Scott,Joel D. Irish
Publisher : Cambridge University Press
Page : 575 pages
File Size : 43,9 Mb
Release : 2013-02-21
Category : Medical
ISBN : 9781107011458

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Anthropological Perspectives on Tooth Morphology by G. Richard Scott,Joel D. Irish Pdf

This follow-up to The Anthropology of Modern Human Teeth puts methods to use in interpreting human origins and affinities.

Author : Allen Hanson
Publisher : Elsevier
Page : 419 pages
File Size : 47,9 Mb
Release : 1978-01-01
Category : Technology & Engineering
ISBN : 9780323151207

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Computer Vision Systems by Allen Hanson Pdf

Computer Vision Systems is a collection of papers presented at the Workshop on Computer Vision Systems held at the University of Massachusetts in Amherst, Massachusetts, on June 1-3, 1977. Contributors discuss the breadth of problems that must be taken into account in the development of general computer vision systems. Topics covered include the application of system engineering techniques to the design of artificial intelligence systems; representation and segmentation of natural scenes; and pragmatic aspects of machine vision. Psychophysical measures of representation and interpretation are also considered. This monograph is divided into four sections: Issues and Research Strategies, Segmentation, Theory and Psychology, and Systems. The first chapter explores the problem of recovering the intrinsic characteristics of scenes from images, along with its implications for machine and human vision. The discussion then turns to special-purpose low-level vision systems that can be flexibly reconfigured as the need arises; design, development, and implementation of large systems from the human engineering point of view; and representation of visual information. The next section examines hierarchical relaxation for waveform parsing; the topology and semantics of intensity arrays; and visual images as spatial representations in active memory. The use of edge cues to recognize real-world objects is also analyzed. This text will be a useful resource for systems designers, computer engineers, and scientists as well as psychologists.

Author : Bor-Yuh Evan Chang
Publisher : Unknown
Page : 166 pages
File Size : 48,5 Mb
Release : 2020
Category : Image analysis
ISBN : 1680837338

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Shape Analysis by Bor-Yuh Evan Chang Pdf

Researchers and students new to the concept of shape analysis will find this a one-stop shop of information that will quickly get them up to speed on all aspects of the topic. With a comprehensive set of references, this accessible survey will enable the reader to adopt the techniques quickly in their own further research.

Author : Liangcai Cao,Zeev Zalevsky,Jianglei Di,Peng Gao
Publisher : Frontiers Media SA
Page : 147 pages
File Size : 51,9 Mb
Release : 2022-11-16
Category : Science
ISBN : 9782832506172

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Digital Holography: Techniques and Applications by Liangcai Cao,Zeev Zalevsky,Jianglei Di,Peng Gao Pdf

Author : Leila de Floriani,Michela Spagnuolo
Publisher : Springer
Page : 0 pages
File Size : 42,9 Mb
Release : 2010-11-19
Category : Mathematics
ISBN : 3642069894

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Shape Analysis and Structuring by Leila de Floriani,Michela Spagnuolo Pdf

With a lot of recent developments in the field, this much-needed book has come at just the right time. It covers a variety of topics related to preserving and enhancing shape information at a geometric level. The contributors also cover subjects that are relevant to effectively capturing the structure of a shape by identifying relevant shape components and their mutual relationships.

Author : LUIGI SALMASO,Chiara Brombin
Publisher : Springer Science & Business Media
Page : 95 pages
File Size : 43,6 Mb
Release : 2013-09-06
Category : Mathematics
ISBN : 9781461481638

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Permutation Tests in Shape Analysis by LUIGI SALMASO,Chiara Brombin Pdf

Statistical shape analysis is a geometrical analysis from a set of shapes in which statistics are measured to describe geometrical properties from similar shapes or different groups, for instance, the difference between male and female Gorilla skull shapes, normal and pathological bone shapes, etc. Some of the important aspects of shape analysis are to obtain a measure of distance between shapes, to estimate average shapes from a (possibly random) sample and to estimate shape variability in a sample[1]. One of the main methods used is principal component analysis. Specific applications of shape analysis may be found in archaeology, architecture, biology, geography, geology, agriculture, genetics, medical imaging, security applications such as face recognition, entertainment industry (movies, games), computer-aided design and manufacturing. This is a proposal for a new Brief on statistical shape analysis and the various new parametric and non-parametric methods utilized to facilitate shape analysis. ​ ​

Author : Chiara Brombin,Luigi Salmaso,Lara Fontanella,Luigi Ippoliti,Caterina Fusilli
Publisher : Springer
Page : 115 pages
File Size : 41,8 Mb
Release : 2016-02-11
Category : Mathematics
ISBN : 9783319263113

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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications by Chiara Brombin,Luigi Salmaso,Lara Fontanella,Luigi Ippoliti,Caterina Fusilli Pdf

This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out. Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book. They refer to the analysis of data from the FG-NET (Face and Gesture Recognition Research Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facial expressions or testing which of the landmarks are more informative in explaining the pattern of an expression.

Author : Jean-Denis Durou,Maurizio Falcone,Yvain Quéau,Silvia Tozza
Publisher : Springer Nature
Page : 239 pages
File Size : 46,8 Mb
Release : 2020-09-16
Category : Computers
ISBN : 9783030518660

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Advances in Photometric 3D-Reconstruction by Jean-Denis Durou,Maurizio Falcone,Yvain Quéau,Silvia Tozza Pdf

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.

Author : Anatoli I. Dashchenko
Publisher : Springer Science & Business Media
Page : 731 pages
File Size : 44,7 Mb
Release : 2007-06-08
Category : Technology & Engineering
ISBN : 9783540293972

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Reconfigurable Manufacturing Systems and Transformable Factories by Anatoli I. Dashchenko Pdf

Dear reader! In your hand you have the second book from the series “XXI Century Techno- gies. ” The first book under the title “Manufacturing Technologies for Machines of the Future” was published by “Springer” in 2003. This book is aimed at solving one of the basic problems in the development of modern machine-building – working out of technologies and manufacturing equipment which would promote the continuous development and improvement of the final product design, rapidly “adaptable” to the requirements of the market as for the quantity, quality, and variety of products manufactured with the lowest cost and minimum time and labor of the product process. In this book the problems of theory and practice of development in the reconfigurable manufacturing systems and transformable factories for various machine-building branches with a focus on automotive industry are discussed. The problems concerning the development of a new class of production systems which in comparison to the flexible manufact- ing systems are composed of a far less quantity of machine-tools (reduced cost of production) are discussed. In comparison to the conventional automated lines (dedicated systems) they make it possible to rapidly transform the equipment for new products manufacturing. The book has some advantages concerning the art of scientific ideas and the presentation of developments.