3d Shape Analysis Based On Feature Curve Networks

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Geometric and Topological Mesh Feature Extraction for 3D Shape Analysis

Author : Jean-Luc Mari,Franck Hétroy-Wheeler,Gérard Subsol
Publisher : John Wiley & Sons
Page : 194 pages
File Size : 41,8 Mb
Release : 2020-01-02
Category : Mathematics
ISBN : 9781786300416

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Geometric and Topological Mesh Feature Extraction for 3D Shape Analysis by Jean-Luc Mari,Franck Hétroy-Wheeler,Gérard Subsol Pdf

Three-dimensional surface meshes are the most common discrete representation of the exterior of a virtual shape. Extracting relevant geometric or topological features from them can simplify the way objects are looked at, help with their recognition, and facilitate description and categorization according to specific criteria. This book adopts the point of view of discrete mathematics, the aim of which is to propose discrete counterparts to concepts mathematically defined in continuous terms. It explains how standard geometric and topological notions of surfaces can be calculated and computed on a 3D surface mesh, as well as their use for shape analysis. Several applications are also detailed, demonstrating that each of them requires specific adjustments to fit with generic approaches. The book is intended not only for students, researchers and engineers in computer science and shape analysis, but also numerical geologists, anthropologists, biologists and other scientists looking for practical solutions to their shape analysis, understanding or recognition problems.

3D Shape Analysis

Author : Hamid Laga,Yulan Guo,Hedi Tabia,Robert B. Fisher,Mohammed Bennamoun
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 47,6 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.

Discrete Geometry for Computer Imagery

Author : David Coeurjolly,Isabelle Sivignon,Laure Tougne,Florent Dupont
Publisher : Springer Science & Business Media
Page : 566 pages
File Size : 53,9 Mb
Release : 2008-04-03
Category : Computers
ISBN : 9783540791256

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Discrete Geometry for Computer Imagery by David Coeurjolly,Isabelle Sivignon,Laure Tougne,Florent Dupont Pdf

This book constitutes the refereed proceedings of the 14th IAPR TC-18 International Conference on Discrete Geometry for Computer Imagery, DGCI 2008, held in Lyon, France, in April 2008. The 23 revised full papers and 22 revised poster papers presented together with 3 invited papers were carefully reviewed and selected from 76 submissions. The papers are organized in topical sections on models for discrete geometry, discrete and combinatorial topology, geometric transforms, discrete shape representation, recognition and analysis, discrete tomography, morphological analysis, discrete modelling and visualization, as well as discrete and combinatorial tools for image segmentation and analysis.

Perspectives in Shape Analysis

Author : Michael Breuß,Alfred Bruckstein,Petros Maragos,Stefanie Wuhrer
Publisher : Springer
Page : 370 pages
File Size : 48,8 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.​

Interactive Sketch-based Interfaces and Modelling for Design

Author : Alexandra Bonnici,Kenneth P. Camilleri
Publisher : CRC Press
Page : 303 pages
File Size : 42,7 Mb
Release : 2023-05-31
Category : Technology & Engineering
ISBN : 9781000824032

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Interactive Sketch-based Interfaces and Modelling for Design by Alexandra Bonnici,Kenneth P. Camilleri Pdf

Sketching is a natural and intuitive communication tool used for expressing concepts and ideas that are difficult to communicate through text or speech alone. In design applications, drawings are used at various stages of the design process: from the early concept drawings scribbled on a piece of paper to immersive interactions in which users manipulate and adjust the 3D form of an object in virtual or augmented reality environments. This variety in drawing activities brings about the need for different interpretation strategies that support not only the sketching activity itself, but also allow sketch-based interactions, such as sketch-based queries, to take place. In this book, we explore the different drawing approaches used in design and the algorithms required for processing and interpreting the different sketches and drawings in design. The book is divided into two parts. The first part focuses on sketching in the 2D domain. This includes the digitization of offline and paperbased sketches, techniques for online sketch recognition, observations of user drawing habits, algorithms for inferring depth from 2D drawings, as well as non-photorealistic rendering techniques that are then applied to sketch-based queries. The second part of the book focuses on 3D sketching in virtual or augmented reality spaces. Here, we present the processing and rendering of the 3D strokes, the different interaction devices available for 3D sketching, and look at different applications where immersive 3D sketching has been applied with success.

The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications

Author : Harsa Amylia Mat Sakim,Mohd Tafir Mustaffa
Publisher : Springer
Page : 539 pages
File Size : 44,6 Mb
Release : 2014-07-08
Category : Technology & Engineering
ISBN : 9789814585422

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The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications by Harsa Amylia Mat Sakim,Mohd Tafir Mustaffa Pdf

The proceeding is a collection of research papers presented, at the 8th International Conference on Robotics, Vision, Signal Processing and Power Applications (ROVISP 2013), by researchers, scientists, engineers, academicians as well as industrial professionals from all around the globe. The topics of interest are as follows but are not limited to: • Robotics, Control, Mechatronics and Automation • Vision, Image, and Signal Processing • Artificial Intelligence and Computer Applications • Electronic Design and Applications • Telecommunication Systems and Applications • Power System and Industrial Applications

2D and 3D Image Analysis by Moments

Author : Jan Flusser,Tomas Suk,Barbara Zitova
Publisher : John Wiley & Sons
Page : 555 pages
File Size : 54,8 Mb
Release : 2016-12-19
Category : Technology & Engineering
ISBN : 9781119039358

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2D and 3D Image Analysis by Moments by Jan Flusser,Tomas Suk,Barbara Zitova Pdf

Presents recent significant and rapid development in the field of 2D and 3D image analysis 2D and 3D Image Analysis by Moments, is a unique compendium of moment-based image analysis which includes traditional methods and also reflects the latest development of the field. The book presents a survey of 2D and 3D moment invariants with respect to similarity and affine spatial transformations and to image blurring and smoothing by various filters. The book comprehensively describes the mathematical background and theorems about the invariants but a large part is also devoted to practical usage of moments. Applications from various fields of computer vision, remote sensing, medical imaging, image retrieval, watermarking, and forensic analysis are demonstrated. Attention is also paid to efficient algorithms of moment computation. Key features: Presents a systematic overview of moment-based features used in 2D and 3D image analysis. Demonstrates invariant properties of moments with respect to various spatial and intensity transformations. Reviews and compares several orthogonal polynomials and respective moments. Describes efficient numerical algorithms for moment computation. It is a "classroom ready" textbook with a self-contained introduction to classifier design. The accompanying website contains around 300 lecture slides, Matlab codes, complete lists of the invariants, test images, and other supplementary material. 2D and 3D Image Analysis by Moments, is ideal for mathematicians, computer scientists, engineers, software developers, and Ph.D students involved in image analysis and recognition. Due to the addition of two introductory chapters on classifier design, the book may also serve as a self-contained textbook for graduate university courses on object recognition.

Intelligent Techniques in Signal Processing for Multimedia Security

Author : Nilanjan Dey,V. Santhi
Publisher : Springer
Page : 485 pages
File Size : 51,9 Mb
Release : 2016-10-18
Category : Technology & Engineering
ISBN : 9783319447902

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Intelligent Techniques in Signal Processing for Multimedia Security by Nilanjan Dey,V. Santhi Pdf

This book proposes new algorithms to ensure secured communications and prevent unauthorized data exchange in secured multimedia systems. Focusing on numerous applications’ algorithms and scenarios, it offers an in-depth analysis of data hiding technologies including watermarking, cryptography, encryption, copy control, and authentication. The authors present a framework for visual data hiding technologies that resolves emerging problems of modern multimedia applications in several contexts including the medical, healthcare, education, and wireless communication networking domains. Further, it introduces several intelligent security techniques with real-time implementation. As part of its comprehensive coverage, the book discusses contemporary multimedia authentication and fingerprinting techniques, while also proposing personal authentication/recognition systems based on hand images, surveillance system security using gait recognition, face recognition under restricted constraints such as dry/wet face conditions, and three-dimensional face identification using the approach developed here. This book equips perception technology professionals with the latest technologies, techniques, and strategies for multimedia security systems, offering a valuable resource for engineers and researchers working to develop security systems.

Transactions on Edutainment XI

Author : Zhigeng Pan,Adrian David Cheok,Wolfgang Mueller,Mingmin Zhang
Publisher : Springer
Page : 266 pages
File Size : 45,9 Mb
Release : 2015-09-11
Category : Education
ISBN : 9783662482476

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Transactions on Edutainment XI by Zhigeng Pan,Adrian David Cheok,Wolfgang Mueller,Mingmin Zhang Pdf

This journal subline serves as a forum for stimulating and disseminating innovative research ideas, theories, emerging technologies, empirical investigations, state-of-the-art methods, and tools in all different genres of edutainment, such as game-based learning and serious games, interactive storytelling, virtual learning environments, VR-based education, and related fields. It covers aspects from educational and game theories, human-computer interaction, computer graphics, artificial intelligence, and systems design. The 24 papers presented in this 11th issue were organized in four parts dealing with: object reconstruction and management; graphics; VR/AR; and applications.

Computational Visual Media

Author : Fang-Lue Zhang
Publisher : Springer Nature
Page : 331 pages
File Size : 41,7 Mb
Release : 2024-06-07
Category : Electronic
ISBN : 9789819720958

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Computational Visual Media by Fang-Lue Zhang Pdf

Computer Vision – ECCV 2016

Author : Bastian Leibe,Jiri Matas,Nicu Sebe,Max Welling
Publisher : Springer
Page : 869 pages
File Size : 51,6 Mb
Release : 2016-09-15
Category : Computers
ISBN : 9783319464787

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Computer Vision – ECCV 2016 by Bastian Leibe,Jiri Matas,Nicu Sebe,Max Welling Pdf

The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision; computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action, activity and tracking; 3D; and 9 poster sessions.

3D Face Modeling, Analysis and Recognition

Author : Mohamed Daoudi,Anuj Srivastava,Remco Veltkamp
Publisher : John Wiley & Sons
Page : 219 pages
File Size : 42,8 Mb
Release : 2013-06-11
Category : Technology & Engineering
ISBN : 9781118592632

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3D Face Modeling, Analysis and Recognition by Mohamed Daoudi,Anuj Srivastava,Remco Veltkamp Pdf

3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further. The book covers face acquisition through 3D scanners and 3D face pre-processing, before examining the three main approaches for 3D facial surface analysis and recognition: facial curves; facial surface features; and 3D morphable models. Whilst the focus of these chapters is fundamentals and methodologies, the algorithms provided are tested on facial biometric data, thereby continually showing how the methods can be applied. Key features: • Explores the underlying mathematics and will apply these mathematical techniques to 3D face analysis and recognition • Provides coverage of a wide range of applications including biometrics, forensic applications, facial expression analysis, and model fitting to 2D images • Contains numerous exercises and algorithms throughout the book

Elastic Shape Analysis of Three-Dimensional Objects

Author : Ian H. Jermyn,Sebastian Kurtek,Hamid Laga,Anuj Srivastava
Publisher : Springer Nature
Page : 169 pages
File Size : 42,6 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031018190

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Elastic Shape Analysis of Three-Dimensional Objects by Ian H. Jermyn,Sebastian Kurtek,Hamid Laga,Anuj Srivastava Pdf

Statistical analysis of shapes of 3D objects is an important problem with a wide range of applications. This analysis is difficult for many reasons, including the fact that objects differ in both geometry and topology. In this manuscript, we narrow the problem by focusing on objects with fixed topology, say objects that are diffeomorphic to unit spheres, and develop tools for analyzing their geometries. The main challenges in this problem are to register points across objects and to perform analysis while being invariant to certain shape-preserving transformations. We develop a comprehensive framework for analyzing shapes of spherical objects, i.e., objects that are embeddings of a unit sphere in ℝ, including tools for: quantifying shape differences, optimally deforming shapes into each other, summarizing shape samples, extracting principal modes of shape variability, and modeling shape variability associated with populations. An important strength of this framework is that it is elastic: it performs alignment, registration, and comparison in a single unified framework, while being invariant to shape-preserving transformations. The approach is essentially Riemannian in the following sense. We specify natural mathematical representations of surfaces of interest, and impose Riemannian metrics that are invariant to the actions of the shape-preserving transformations. In particular, they are invariant to reparameterizations of surfaces. While these metrics are too complicated to allow broad usage in practical applications, we introduce a novel representation, termed square-root normal fields (SRNFs), that transform a particular invariant elastic metric into the standard L2 metric. As a result, one can use standard techniques from functional data analysis for registering, comparing, and summarizing shapes. Specifically, this results in: pairwise registration of surfaces; computation of geodesic paths encoding optimal deformations; computation of Karcher means and covariances under the shape metric; tangent Principal Component Analysis (PCA) and extraction of dominant modes of variability; and finally, modeling of shape variability using wrapped normal densities. These ideas are demonstrated using two case studies: the analysis of surfaces denoting human bodies in terms of shape and pose variability; and the clustering and classification of the shapes of subcortical brain structures for use in medical diagnosis. This book develops these ideas without assuming advanced knowledge in differential geometry and statistics. We summarize some basic tools from differential geometry in the appendices, and introduce additional concepts and terminology as needed in the individual chapters.

Computer Vision – ECCV 2022

Author : Shai Avidan,Gabriel Brostow,Moustapha Cissé,Giovanni Maria Farinella,Tal Hassner
Publisher : Springer Nature
Page : 811 pages
File Size : 52,8 Mb
Release : 2022-11-10
Category : Computers
ISBN : 9783031200625

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Computer Vision – ECCV 2022 by Shai Avidan,Gabriel Brostow,Moustapha Cissé,Giovanni Maria Farinella,Tal Hassner Pdf

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Geometric Methods in Signal and Image Analysis

Author : Hamid Krim,A. Ben Hamza
Publisher : Cambridge University Press
Page : 299 pages
File Size : 47,7 Mb
Release : 2015-06-18
Category : Computers
ISBN : 9781107033900

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Geometric Methods in Signal and Image Analysis by Hamid Krim,A. Ben Hamza Pdf

A comprehensive guide to modern geometric methods for signal and image analysis, from basic principles to state-of-the-art concepts and applications.