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Computer Science - Image Processing | Segmentation and Recovery of Superquadrics

Segmentation and Recovery of Superquadrics

Jaklic, Ales, Leonardis, Ales, Solina, F.

2000, XXII, 266 p.

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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.

Content Level » Research

Keywords » 3D - Extension - computer vision - control - image registration - robot - robotics

Related subjects » Artificial Intelligence - Image Processing - Mechanical Engineering

Table of contents 

List of Figures. List of Tables. Preface. Acknowledgments. Foreword. 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. References. Author Index. Topic Index.

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