Handbook of Image and Video Processing, 2nd Edition

10.11

Statistical Models of Targets and Clutter for Use in Bayesian Object Recognition

Anuj Srivastava,     Florida State University

Michael I. Miller,     Johns Hopkins University

Ulf Grenander,     Brown University

1 Introduction

2 Statistical Models

2.1 Target Representations

2.2 Sensor Modeling

2.3 Clutter Models

3 Bayesian Framework

4 Pose Location Estimation and Performance

4.1 Minimum Mean Squared Error Estimator

4.2 Lower bound on Expected Error

5 Target Recognition and Performance

6 Discussion

7 Acknowledgment

References

1 Introduction

When human beings look at camera images of known objects, such as a table, a chair, a human face, or a car, we recognize them immediately. For example, Fig. 1 shows several images of tanks ...