3D shape analysis : fundamentals, theory, and applications
Three D shape analysis
Hamid Laga ... [et al.]
- Hoboken, NJ : John Wiley and Sons, Inc. : Wiley, c2019.
- xviii, 345 p. : ill. ; 24 cm.
Includes bibliographical references and index.
The first part of 3D Shape Analysis: Fundamentals, Theory, and Applications provide 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 the shape. Parts 2 and 3 present a range of mathematical and algorithmic tools (which are used, 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 a 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 images. The book concludes with a summary of the main ideas and discussions of future trends
9781119405108
2018033203
Three-dimensional imaging Pattern recognition systems Shapes--Computer simulation Machine learning