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About this book
A representation of objects by their parts is the dominant strategy for representing complex 3D objects in many disciplines. In computer vision and robotics, superquadrics are among the most widespread part models. Superquadrics are a family of parametric models that cover a wide variety of smoothly changing 3D symmetric shapes, which are controlled with a small number of parameters and which can be augmented with the addition of global and local deformations. The book covers, in depth, the geometric properties of superquadrics. The main contribution of the book is an original approach to the recovery and segmentation of superquadrics from range images. Several applications of superquadrics in computer vision and robotics are thoroughly discussed and, in particular, the use of superquadrics for range image registration is demonstrated.
Audience: The book is intended for readers of all levels who are familiar with and interested in computer vision issues.
Audience: The book is intended for readers of all levels who are familiar with and interested in computer vision issues.
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Table of contents (8 chapters)
Authors and Affiliations
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Bibliographic Information
Book Title: Segmentation and Recovery of Superquadrics
Authors: Aleš Jaklič, Aleš Leonardis, Franc Solina
Series Title: Computational Imaging and Vision
DOI: https://doi.org/10.1007/978-94-015-9456-1
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media B.V. 2000
Hardcover ISBN: 978-0-7923-6601-0Published: 30 September 2000
Softcover ISBN: 978-90-481-5574-3Published: 15 December 2010
eBook ISBN: 978-94-015-9456-1Published: 17 April 2013
Series ISSN: 1381-6446
Edition Number: 1
Number of Pages: XXII, 266
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Computer Graphics, Engineering Design