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3D shape analysis : fundamentals, theory, and applications

Author: Hamid Laga; Yulan Guo; Hedi Tabia; R B Fisher; M Bennamoun
Publisher: Hoboken, NJ : Wiley, 2019.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
(DLC) 2018033203
(OCoLC)1039935135
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Hamid Laga; Yulan Guo; Hedi Tabia; R B Fisher; M Bennamoun
ISBN: 9781119405191 111940519X 9781119405207 1119405203
OCLC Number: 1080190591
Description: 1 online resource
Contents: Introductions --
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 --
References --
Index --
End user license agreement.
Other Titles: Three D shape analysis
Responsibility: Hamid Laga, Murdoch University and University of South Australia, Australia, Yulan Guo, National University of Defense Technology, China, Hedi Tabia, ETIS UMR 8051, Paris Seine University, University of Cergy-Pontoise, ENSEA, CNRS, France, Robert B. Fisher, University of Edinburgh, United Kingdom, Mohammed Bennamoun, the University of Western Australia, Australia.

Abstract:

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.

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