MPG.eBooks - Table of Contents: Physics-Based Deformable Models

Read Now

Physics-Based Deformable Models Applications to Computer Vision, Graphics and Medical Imaging

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...

Full description

Bibliographic Details
Main Author:	Metaxas, Dimitris N.
Format:	eBook
Language:	English
Published:	New York, NY Springer US 1997, 1997
Edition:	1st ed. 1997
Series:	The Springer International Series in Engineering and Computer Science
Subjects:	Computer Graphics Image Processing / Digital Techniques Computer Vision Biomedical Engineering Radiology Computer Imaging, Vision, Pattern Recognition And Graphics Biomedical Engineering And Bioengineering Mathematical Physics Theoretical, Mathematical And Computational Physics
Online Access:	https://doi.org/10.1007/978-1-4615-6335-8?nosfx=y
Collection:	Springer Book Archives -2004 - Collection details see MPG.ReNa

Table of Contents:

7.4 Experiments with Constraints
8 Shape and Nonrigid Motion Estimation
8.1 Recursive Estimation
8.2 Kalman Filter Implementation
8.3 Recursive Estimation of Shape and Nonrigid Motion
9 Multi–Level Shape Representation
9.1 Related Work
9.2 Deformable Models: Geometry and Dynamics
9.3 Locally Adaptive Finite Elements
9.4 Summary of Model Fitting to Range Data
9.5 Experiments
10 Topologically Adaptive Models Based on Blending
10.1 Related Work
10.2 Blended shapes
10.3 Reconstruction and evolution
10.4 Experiments
11 Integration of Qualitative Segmentation and Pbm Methods
11.1 Related Work
11.2 Qualitative Model Extraction
11.3 Quantitative Shape and Motion Recovery
12 Motion–Based Part Segmentation and Tracking
12.1 Related Prior Work
12.2 Deformable Models: Extensions
12.3Inferring structure in 2D
12.4 Two–dimensional human body model acquisition
12.5 Three–dimensional Human Body model acquisition
16.5 Summary of the Navier–Stokes Algorithm
16.6 Control
16.7 Examples
17 Conclusions
A
References
12.6 Human Body Tracking
12.7 Experimental Results
13 Volumetric Analysis of the Left Ventricular Wall Motion From Mri–Spamm
13.1 Related Work
13.2 Data Extraction Techniques for Cardiac Motion Studies
13.3 Volumetric Deformable Models with Parameter Functions
13.4 Model Force Computation
13.5 Model Parameters
13.6 Implementation of Model Fitting Procedure
13.7 Experimental Results
14 Visualizing Respiratory Mechanics Based on Anatomical and Physiological Modeling
14.1 Related Work
14.2 Basic Anatomy and Physiology
14.3 Methods
14.4 Results
15 Recursive Dynamics and Adaptive Control for Animating Articulated Figures
15.1 System Description
15.2 Efficient Forward Dynamics
15.3 Collision handling
15.4 Dynamic Control
15.5 Results
16 Animating Liquids
16.1 Navier–Stokes Equations
16.2 Solving the Navier–Stokes equations
16.3 Tracking fluid position
16.4 Buoyancy
1 Introduction
1.1 Illustrative Examples of Modeling and Estimation
1.2 Chapter Outline
2 Geometry of Deformable Models
2.1 Related Work
2.2 Hybrid Deformable Models
3 Kinematics and Dynamics
3.1 Kinematics
3.2 Dynamics
3.3 Choosing the Order of the Motion Equations
4 Finite Element Implementation
4.1 Choosing the Appropriate Elements
4.2 Various Model Tessellations
4.3C0Elements
4.4C1Triangular Elements
4.5 Approximation of the Lagrange Equations
5 Applied Forces
5.1 Computer Vision and Medical Imaging Applications
5.2 Computer Graphics Applications
5.3 Force–Based Estimation
6 Model Implementation
6.1 Integrating the Motion Equations
6.2 Model Initialization
6.3 Computer Vision Experiments
6.4 Computer Graphics Experiments
7 Constrained Nonrigid Motion
7.1 Holonomic Constraints and Lagrange Multipliers
7.2 Stabilized Constraints
7.3 Fast Constraint Force Computation for Multibody Objects

Physics-Based Deformable Models Applications to Computer Vision, Graphics and Medical Imaging

Similar Items