Advances in imaging and electron physics

Advances in imaging and electron physics

by Hawkes, Peter W.

Type Book
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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.Contribution…

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Title Statements

  • Full title :Advances in imaging and electron physics.

Summary

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.

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Edition Statements

  • Publication Date:©2015
  • Edition:First edition

Publication Statements

  • Publisher(s):Academic Press
  • Place of Publication:London, England
  • Language:eng
  • Publication Date:©2015

Notes

Description based upon print version of record.

3.5.1 Classical Mott Detector

The Physical Object

  • Description:1 online resource (171 p.)

Edition Identifiers

  • ISBN:0128025212, 9780128025215, 0128022558, 9780128022559
  • oclc:on1113594790
  • LC Classification:QC793.5.E622
  • Dewey Decimal:621

Table of Contents

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…

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