Advances in imaging and electron physics. Volume 190 /
edited by Peter W. Hawkes.
- First edition.
- (269 pages) : illustrations (some color).
- Advances in Imaging and Electron Physics, Volume 190 1076-5670 ; .
Includes bibliographical references at the end of each chapters and index.
Front Cover; Advances in IMAGING AND ELECTRON PHYSICS; Copyright; Contents; Preface; Future Contributions; Contributors; Homeomorphic Manifold Analysis (HMA): Untangling Complex Manifolds; 1. Introduction; 2. Motivating Scenarios; 2.1 Case Example I: Modeling the View-Object Manifold; 2.2 Case Example II: Modeling the Visual Manifold of Biological Motion; 2.3 Biological Motivation; 3. Framework Overview; 4. Manifold Factorization; 4.1 Style Setting; 4.2 Manifold Parameterization; 4.3 Style Factorization; 4.3.1 One-Style-Factor Model; 4.3.2 Multifactor Model; 4.4 Content Manifold Embedding. 4.4.1 Nonlinear Dimensionality Reduction from Visual Data4.4.2 Topological Conceptual Manifold Embedding; 5. Inference; 5.1 Solving for One Style Factor; 5.1.1 Iterative Solution; 5.1.1.1 Closed-Form Linear Approximation for the Coordinate on the Manifold; 5.1.1.2 Solving for Discrete Styles; 5.1.2 Sampling-based Solution; 5.2 Solving for Multiple Style Factors Given a Whole Sequence; 5.3 Solving for Body Configuration and Style Factors from a Single Image; 6. Applications of Homomorphism on 1-D Manifolds; 6.1 A Single-Style-Factor Model for Gait; 6.1.1 Style-Dependent Shape Interpolation. 6.1.2 Style-Preserving Posture-Preserving Reconstruction6.1.3 Shape and Gait Synthesis; 6.2 A Multifactor Model for Gait; 6.3 A Multifactor Model for Facial Expression Analysis; 6.3.1 Facial Expression Synthesis and Recognition; 7. Applications of Homomorphism on 2-D Manifolds; 7.1 The Topology of the Joint Configuration-viewpoint Manifold; 7.2 Graphical Model; 7.3 Torus Manifold Geometry; 7.4 Embedding Points on the Torus; 7.5 Generalization to the Full-View Sphere; 7.6 Deforming the Torus; 7.6.1 Torus to Visual Manifold; 7.6.2 Torus to Kinematic Manifold. 7.6.3 Modeling Shape Style Variations7.7 Bayesian Tracking on the Torus; 7.7.1 Dynamic Model; 7.8 Experimental Results; 8. Applications to Complex Motion Manifolds; 8.1 Learning Configuration-viewpoint, and Shape Manifolds; 8.2 Parameterizing the View Manifold; 8.2.1 Parameterizing the Configuration Manifold; 8.2.2 Parameterizing the Shape Space; 8.3 Simultaneous Tracking on the Three Manifolds Using Particle Filtering; 8.4 Examples: Pose and View Estimation from General Motion Manifolds; 8.4.1 Catch/Throw Motion; 8.4.2 Ballet Motion; 8.4.3 Aerobic Dancing Sequence; 9. Bibliographical Notices. 9.1 Factorized Models: Linear, Bilinear, and Multilinear Models9.2 Manifold Learning; 9.3 Manifold-based Models of Human Motion; 10. Conclusions; Acknowledgments; References; Spin-Polarized Scanning Electron Microscopy; 1. Introduction; 2. Principles; 2.1 Principle of Magnetic Domain Observation; 2.2 Principle of Spin-Polarization Detection; 2.2.1 Mott Polarimeter; 2.2.2 Detection of All Three Spin-Polarization Components; 3. Device Configuration and Sample Preparation; 3.1 Chamber Configuration; 3.2 Sample Preparation; 3.3 Electron Gun; 3.4 Secondary Electron Optics; 3.5 Spin Detectors.
Advances in Imaging and Electron Physics merges two long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains. Contributions from leading authorities Informs and updates on all the latest developments in the field.