| Description |
1 online resource (xviii, 345 pages) : illustrations (chiefly color) |
| Bibliography |
Includes bibliographical references (pages 303-336) and index. |
| Summary |
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. |
| Contents |
Part I: Foundations. Basic elements of 3D geometry and topology ; 3D acquisition and preprocessing -- part II: 3D shape descriptors. Global shape descriptors ; Local shape descriptors -- part III: 3D correspondence and registration. Rigid registration ; Nonrigid registration ; Semantic correspondences -- part IV: Applications. Examples of 3D semantic applications ; 3D face recognition ; Object recognition in 3D scenes ; 3D shape retrieval ; Cross-domain retrieval -- Conclusions and perspectives. |
| Subject |
Three-dimensional imaging.
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Pattern recognition systems.
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Shapes -- Computer simulation.
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Machine learning.
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Imagerie tridimensionnelle. |
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Reconnaissance des formes (Informatique) |
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Formes -- Simulation par ordinateur. |
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Apprentissage automatique. |
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three-dimensional. |
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Machine learning |
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Pattern recognition systems |
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Three-dimensional imaging |
| Added Author |
Guo, Yulan, author. National University of Defense Technology, China
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Tabia, Hedi, author.
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Fisher, R. B., author.
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Bennamoun, M. (Mohammed), author.
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| Added Title |
Three D shape analysis |
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Three dimensional shape analysis |
| Other Form: |
Print version: Laga, Hamid. 3D shape analysis. Hoboken, NJ, USA : Wiley, 2019 1119405106 (DLC) 2018033203 (OCoLC)1039935135 |
| ISBN |
9781119405191 (electronic bk. ; epub) |
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111940519X (electronic bk. ; epub) |
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9781119405207 (electronic bk.) |
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1119405203 (electronic bk.) |
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(hardcover) |
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(hardcover) |
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