Segmentation and Recovery of Superquadrics

Author:   Ales Jaklic ,  Ales Leonardis ,  F. Solina
Publisher:   Springer
Edition:   2000 ed.
Volume:   20
ISBN:  

9780792366010


Pages:   266
Publication Date:   30 September 2000
Format:   Hardback
Availability:   In Print   Availability explained
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Segmentation and Recovery of Superquadrics


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Overview

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 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.

Full Product Details

Author:   Ales Jaklic ,  Ales Leonardis ,  F. Solina
Publisher:   Springer
Imprint:   Springer
Edition:   2000 ed.
Volume:   20
Dimensions:   Width: 15.60cm , Height: 1.70cm , Length: 23.40cm
Weight:   1.290kg
ISBN:  

9780792366010


ISBN 10:   0792366018
Pages:   266
Publication Date:   30 September 2000
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction.- 2. Superquadrics and Their Geometric Properties.- 3. Extensions of Superquadrics.- 4. Recovery of Individual Superquadrics.- 5. Segmentation with Superquadrics.- 6. Experimental Results.- 7. Applications of Superquadrics.- 8. Conclusions.- Appendices.- B— Superquadric Recovery Code.- C— Range Image Acquisition.- D— Minimum Description Length and Maximum A Posteriori Probability.- E— Object-Oriented Framework for Segmentation (Segmentor).- References.- Author Index.- Topic Index.

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