Presents a systematic, physics-based framework for modelling rigid, articulated, and deformable objects, their interactions with the physical world, and the estimate of their shape and motion from visual data.

Presents a systematic, physics-based framework for modelling rigid, articulated, and deformable objects, their interactions with the physical world, and the estimate of their shape and motion from visual data. It includes a 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. The text is suitable 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.

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.