Emerging Topics in Computer Vision (Hardcover)

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Emerging Topics in Computer Vision (Hardcover)

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內容描述

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Description:

Preface.
 Contributors.

1. Introduction.
   I. FUNDAMENTALS IN COMPUTER
   VISION.  

2. Camera Calibration.
   Zhengyou Zhang.

Introduction.
Notation and Problem Statement.
Camera Calibration with 3D
Objects.
Camera Calibration with 2D Objects:
Plane-Based Technique.
Solving Camera Calibration with 1D
Objects.
Self-Calibration.
Conclusion.
Appendix: Estimating Homography Between Plane
and Image.
Bibliography.

1. Multiple View Geometry. 
    Anders Heyden and Marc Pollefeys.

Introduction.
Projective Geometry.
Tensor Calculus.
Modeling Cameras.
Multiple View Geometry.
Structure and Motion I.
Structure and Motion II.
Autocalibration.
Dense Depth Estimation.
Visual Modeling.
Conclusion.
Bibliography. 

1. Robust Techniques for Computer
   Vision.
   Peter Meer.

Robustness in Visual Tasks.
Models and Estimation Problems.
Location Estimation.
Robust Regression.
Conclusion.
Bibliography. 

1. The Tensor Voting Framework.
   Gérard Medioni and Philippos
   Mordohai.

Introduction.
Related
Work.
Tensor Voting in 2D.
Tensor Voting in 3D.
Tensor Voting in ND.
Application to Computer Vision
Problems.
Conclusion and Future Work.
Acknowledgments.
Bibliography. 
II. APPLICATIONS IN COMPUTER VISION.

1. Image-Based Lighting. 
    Paul E. Debevec.

Basic Image-Based Lighting.
Advanced Image-Based Lighting.
Image-Based Relighting.
Conclusion.
Bibliography.

1. Computer Vision In Visual
   Effects. 
    Doug Roble.

Introduction.
Computer Vision Problems Unique to
Film.
Feature Tracking.
Optical Flow.
Camera Tracking and Structure from
Motion.
The Future.
Bibliography.

1. Content-Based Image Retrieval: An
   Overview.
   Theo Gevers and Arnold W. M.
   Smeulders

Overview of Chapter.
Image Domains.
Image Features.
Representation and Indexing.
Similarity and Search.
Interaction and Learning.
Conclusion.
Bibliography.

  9. Face Detection, Alignment, and
Recognition.
  Stan Z. Li and Juwei Lu.

Introduction.
Face Detection.
Face Alignment.
Face Recognition.
Bibliography. 

1. Perceptual Interfaces.
   Matthew Turk and Mathias
   Kölsch

Introduction.
Perceptual Interfaces and HCI.
Multimodal Interfaces.
Vision-Based Interfaces.
Brain-Computer Interfaces.
Summary.
Bibliography. 
III. PROGRAMMING FOR COMPUTER VISION.

1. Open Source Computer Vision
   Library.
   Gary Bradski.

Overview.
Functional Groups: What's Good for
What.
Pictorial Tour.
Programming Examples Using C/C++.
Other Interfaces.
Appendix A.
Appendix B.
Bibliography.

1. Software Architecture For Computer Vision.

Alexandre R. J. François.

Introduction.
SAI: A Software Architecture
Model.
MFSM: An Architectural Middleware.
Conclusion.
Acknowledgments.
Bibliography.Index.

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