Emerging Topics in Computer Vision (Hardcover)

Gerard Medioni, Sing Bing Kang

Emerging Topics in Computer Vision (Hardcover)
  • 出版商: Prentice Hall
  • 出版日期: 2004-07-21
  • 售價: $3,600
  • 貴賓價: 9.5 折 $3,420
  • 語言: 英文
  • 頁數: 688
  • 裝訂: Paperback
  • ISBN: 0131013661
  • ISBN-13: 9780131013667
  • 相關分類: Computer Vision

    • 立即出貨

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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.

3. 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. 

4. Robust Techniques for Computer Vision.

Peter Meer.

Robustness in Visual Tasks.

Models and Estimation Problems.

Location Estimation.

Robust Regression.

Conclusion.

Bibliography. 

5. 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.

6. Image-Based Lighting. 

 Paul E. Debevec.

Basic Image-Based Lighting.

Advanced Image-Based Lighting.

Image-Based Relighting.

Conclusion.

Bibliography.

7. 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.

8. 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. 

10. 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.

11. 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.

12. Software Architecture For Computer Vision.

Alexandre R. J. François.

Introduction.

SAI: A Software Architecture Model.

MFSM: An Architectural Middleware.

Conclusion.

Acknowledgments.

Bibliography.

Index.

商品描述(中文翻譯)

描述：
前言。
貢獻者。
1. 簡介。
I. 電腦視覺基礎。
2. 相機校準。
- 張正友。
- 簡介。
- 符號和問題陳述。
- 使用3D物體進行相機校準。
- 使用2D物體進行相機校準：基於平面的技術。
- 解決使用1D物體進行相機校準。
- 自校準。
- 結論。
- 附錄：估計平面和圖像之間的單應性。
- 參考文獻。
3. 多視圖幾何。
- Anders Heyden和Marc Pollefeys。
- 簡介。
- 射影幾何。
- 張量計算。
- 建模相機。
- 多視圖幾何。
- 結構和運動I。
- 結構和運動II。
- 自動校準。
- 密集深度估計。
- 視覺建模。
- 結論。
- 參考文獻。
4. 電腦視覺的強健技術。
- Peter Meer。
- 視覺任務中的強健性。
- 模型和估計問題。
- 位置估計。
- 強健回歸。
- 結論。
- 參考文獻。
5. 張量投票框架。
- Gérard Medioni和Philippos Mordohai。
- 簡介。
- 相關工作。
- 2D張量投票。
- 3D張量投票。
- ND張量投票。
- 應用於電腦視覺問題。
- 結論和未來工作。
- 致謝。
- 參考文獻。

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