{"product_id":"3d-shape-analysis-fundamentals-theory-and-applications-hardback-9781119405108","title":"3D Shape Analysis; Fundamentals, Theory, and Applications (Hardback) 9781119405108","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003e3D Shape Analysis\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eFundamentals, Theory, and Applications\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eHamid Laga (Author), Yulan Guo (Author), Hedi Tabia (Author), Robert B. Fisher (Author), Mohammed Bennamoun (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119405108, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 1 March 2019\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e368 pages\u003cbr\u003e23.4 x 15.8 x 2.5 cm, 0.68 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eAn in-depth description of the state-of-the-art of 3D shape analysis techniques and their applications\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003eThe first part of \u003ci\u003e3D Shape Analysis: Fundamentals, Theory, and Applications \u003c\/i\u003eprovides 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003e3D Shape Analysis: Fundamentals, Theory, and Applications \u003c\/i\u003eis 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003cbr\u003eAcknowledgments xvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003cbr\u003e\u003c\/b\u003e1.1 Motivation 1\u003cbr\u003e1.2 The 3D Shape Analysis Problem 2\u003cbr\u003e1.3 About This Book 5\u003cbr\u003e1.4 Notation 9\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Foundations 11\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Basic Elements of 3D Geometry and Topology 13\u003cbr\u003e\u003c\/b\u003e2.1 Elements of Differential Geometry 13\u003cbr\u003e2.2 Shape, Shape Transformations, and Deformations 30\u003cbr\u003e2.3 Summary and Further Reading 38\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 3D Acquisition and Preprocessing 41\u003cbr\u003e\u003c\/b\u003e3.1 Introduction 41\u003cbr\u003e3.2 3D Acquisition 41\u003cbr\u003e3.3 Preprocessing 3D Models 56\u003cbr\u003e3.4 Summary and Further Reading 62\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II 3D Shape Descriptors 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Global Shape Descriptors 67\u003cbr\u003e\u003c\/b\u003e4.1 Introduction 67\u003cbr\u003e4.2 Distribution-Based Descriptors 69\u003cbr\u003e4.3 View-Based 3D Shape Descriptors 73\u003cbr\u003e4.4 Spherical Function-Based Descriptors 77\u003cbr\u003e4.5 Deep Neural Network-Based 3D Descriptors 83\u003cbr\u003e4.6 Summary and Further Reading 89\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Local Shape Descriptors 93\u003cbr\u003e\u003c\/b\u003e5.1 Introduction 93\u003cbr\u003e5.2 Challenges and Criteria 94\u003cbr\u003e5.3 3D Keypoint Detection 96\u003cbr\u003e5.4 Local Feature Description 113\u003cbr\u003e5.5 Feature Aggregation Using Bag of Feature Techniques 126\u003cbr\u003e5.6 Summary and Further Reading 131\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III 3D Correspondence and Registration 135\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Rigid Registration 137\u003cbr\u003e\u003c\/b\u003e6.1 Introduction 137\u003cbr\u003e6.2 Coarse Registration 138\u003cbr\u003e6.3 Fine Registration 152\u003cbr\u003e6.4 Summary and Further Reading 160\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Nonrigid Registration 161\u003cbr\u003e\u003c\/b\u003e7.1 Introduction 161\u003cbr\u003e7.2 Problem Formulation 162\u003cbr\u003e7.3 Mathematical Tools 165\u003cbr\u003e7.4 Isometric Correspondence and Registration 168\u003cbr\u003e7.5 Nonisometric (Elastic) Correspondence and Registration 171\u003cbr\u003e7.6 Summary and Further Reading 184\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Semantic Correspondences 187\u003cbr\u003e\u003c\/b\u003e8.1 Introduction 187\u003cbr\u003e8.2 Mathematical Formulation 188\u003cbr\u003e8.3 Graph Representation 191\u003cbr\u003e8.4 Energy Functions for Semantic Labeling 194\u003cbr\u003e8.5 Semantic Labeling 196\u003cbr\u003e8.6 Examples 202\u003cbr\u003e8.7 Summary and Further Reading 204\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Applications 207\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Examples of 3D Semantic Applications 209\u003cbr\u003e\u003c\/b\u003e9.1 Introduction 209\u003cbr\u003e9.2 Semantics: Shape or Status 209\u003cbr\u003e9.3 Semantics: Class or Identity 212\u003cbr\u003e9.4 Semantics: Behavior 216\u003cbr\u003e9.5 Semantics: Position 219\u003cbr\u003e9.6 Summary and Further Reading 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 3D Face Recognition 223\u003cbr\u003e\u003c\/b\u003e10.1 Introduction 223\u003cbr\u003e10.2 3D Face Recognition Tasks, Challenges and Datasets 224\u003cbr\u003e10.3 3D Face Recognition Methods 228\u003cbr\u003e10.4 Summary 239\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Object Recognition in 3D Scenes 241\u003cbr\u003e\u003c\/b\u003e11.1 Introduction 241\u003cbr\u003e11.2 Surface Registration-Based Object Recognition Methods 241\u003cbr\u003e11.3 Machine Learning-Based Object Recognition Methods 255\u003cbr\u003e11.4 Summary and Further Reading 265\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 3D Shape Retrieval 267\u003cbr\u003e\u003c\/b\u003e12.1 Introduction 267\u003cbr\u003e12.2 Benchmarks and Evaluation Criteria 270\u003cbr\u003e12.3 Similarity Measures 275\u003cbr\u003e12.4 3D Shape Retrieval Algorithms 280\u003cbr\u003e12.5 Summary and Further Reading 284\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Cross-domain Retrieval 285\u003cbr\u003e\u003c\/b\u003e13.1 Introduction 285\u003cbr\u003e13.2 Challenges and Datasets 287\u003cbr\u003e13.3 Siamese Network for Cross-domain Retrieval 290\u003cbr\u003e13.4 3D Shape-centric Deep CNN 292\u003cbr\u003e13.5 Summary and Further Reading 300\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Conclusions and Perspectives 301\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReferences 303\u003cbr\u003eIndex 337\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52428572295448,"sku":"9781119405108","price":91.85,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119405108.jpg?v=1784680161","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/3d-shape-analysis-fundamentals-theory-and-applications-hardback-9781119405108","provider":"Freshly Printed Books","version":"1.0","type":"link"}