Physics-Based Deformable Models: Applications to Computer Vision, Graphics and Medical Imaging / Edition 1

Physics-Based Deformable Models: Applications to Computer Vision, Graphics and Medical Imaging / Edition 1

by Dimitris N. Metaxas
     
 

ISBN-10: 0792398408

ISBN-13: 9780792398400

Pub. Date: 12/07/2009

Publisher: Springer US

Physics-Based Deformable Models presents a systematic physics-based framework for modeling rigid, articulated, and deformable objects, their interactions with the physical world, and the estimate of their shape and motion from visual data. This book presents a large variety of methods and associated experiments in computer vision, graphics and medical imaging

Overview

Physics-Based Deformable Models presents a systematic physics-based framework for modeling rigid, articulated, and deformable objects, their interactions with the physical world, and the estimate of their shape and motion from visual data. This book presents a large variety of methods and associated experiments in computer vision, graphics and medical imaging that help the reader better to understand the presented material. In addition, special emphasis has been given to the development of techniques with interactive or close to real-time performance.
Physics-Based Deformable Models is suitable as a secondary text for graduate level courses in Computer Graphics, Computational Physics, Computer Vision, Medical Imaging, and Biomedical Engineering. In addition, this book is appropriate as a reference for researchers and practitioners in the above-mentioned fields.

Product Details

ISBN-13:
9780792398400
Publisher:
Springer US
Publication date:
12/07/2009
Series:
Springer International Series in Engineering and Computer Science, #389
Edition description:
1997
Pages:
308
Product dimensions:
9.21(w) x 6.14(h) x 0.75(d)

Table of Contents

Preface. 1. Introduction. 2. Geometry of Deformable Models. 3. Kinematics and Dynamics. 4. Finite Element Implementation. 5. Applied Forces. 6. Model Implementation. 7. Constrained Nonrigid Motion. 8. Shape and Nonrigid Motion Estimation. 9. Multi-Level Shape Representation. 10. Topologically Adaptive Models Based on Blending. 11. Integration of Qualitative Segmentation and PBM Methods. 12. Motion-Based Part Segmentation and Tracking. 13. Volumetric Analysis of the Left Ventricular Wall Motion from MRI-SPAMM. 14. Visualizing Respiratory Mechanics Based on Anatomical and Physiological Modeling. 15. Recursive Dynamics and Adaptive Control for Animating Articulated Figures. 16. Animated Liquids. 17. Conclusions. References. Index.

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