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Segmentation and Recovery of Superquadrics

  • Aleš Jaklič
  • Aleš Leonardis
  • Franc Solina

Part of the Computational Imaging and Vision book series (CIVI, volume 20)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Aleš Jaklič, Aleš Leonardis, Franc Solina
    Pages 1-11
  3. Aleš Jaklič, Aleš Leonardis, Franc Solina
    Pages 13-39
  4. Aleš Jaklič, Aleš Leonardis, Franc Solina
    Pages 41-61
  5. Aleš Jaklič, Aleš Leonardis, Franc Solina
    Pages 63-101
  6. Aleš Jaklič, Aleš Leonardis, Franc Solina
    Pages 103-140
  7. Aleš Jaklič, Aleš Leonardis, Franc Solina
    Pages 141-180
  8. Aleš Jaklič, Aleš Leonardis, Franc Solina
    Pages 181-215
  9. Aleš Jaklič, Aleš Leonardis, Franc Solina
    Pages 217-220
  10. Back Matter
    Pages 221-266

About this book

Introduction

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.

Keywords

3D Extension computer vision control image registration robot robotics

Authors and affiliations

  • Aleš Jaklič
    • 1
  • Aleš Leonardis
    • 1
  • Franc Solina
    • 1
  1. 1.Faculty of Computer and Information ScienceUniversity of LjubljanaSlovenia

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-9456-1
  • Copyright Information Springer Science+Business Media B.V. 2000
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5574-3
  • Online ISBN 978-94-015-9456-1
  • Series Print ISSN 1381-6446
  • Buy this book on publisher's site
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