Computer Vision Beyond the Visible Spectrum

Cover -- Preface -- Table of Contents -- Chapter 1 A Theoretical Framework for Predicting Performance of Object Recognition -- 1.1 Introduction -- 1.2 Relevant Research -- 1.3 Overview -- 1.4 Data-Distortion Models -- 1.5 Computation of Object Similarity -- 1.6 Computation of Performance Bounds -- 1.7 Experimental Validation -- 1.8 Conclusions -- Appendix -- Chapter 2 Methods for Improving the Performance of an SAR Recognition System -- 2.1 Introduction -- 2.2 SAR Target Characteristics -- 2.3 Basic SAR Recognition System -- 2.4 Incorporation of Additional Features -- 2.5 Exploitation of Model Similarity -- 2.6 Multiple Recognizers at Different Look Angles -- 2.7 Conclusions -- Chapter 3 Three-Dimensional Laser Radar Recognition Approaches -- 3.1 Introduction -- 3.2 Ladar Sensors -- 3.3 Is 3D Ladar Object Recognition a Solved Problem? -- 3.4 Shape Metrics -- 3.5 Current Approach -- 3.6 Implementation -- 3.7 Conclusions -- 3.8 Future Research -- Chapter 4 Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery -- 4.1 Introduction -- 4.2 Hyperspectral Imaging System -- 4.3 Spectral Mixing Model -- 4.4 ICA-Based Feature Extraction -- 4.5 Subspace-Based Adaptive Target Classification -- 4.6 Experimental Results -- 4.7 Conclusions -- 4.8 Acknowledgment -- Chapter 5 Moving Object Detection and Compression in IR Sequences -- 5.1 Introduction -- 5.2 Object Detection -- 5.3 Best View Selection -- 5.4 Compression -- 5.5 Performance Evaluation of Algorithms -- 5.6 Conclusions -- Chapter 6 Face Recognition in the Thermal Infrared -- 6.1 Introduction -- 6.2 The Equinox Visible/Infrared Face Database -- 6.3 Calibration Of Thermal IR Sensors -- 6.4 Measuring Illumination Invariance -- 6.5 Emissivity Of Human Facial Skin -- 6.6 Comparison Of Face Recognition Performance In The Visable and Thermal Infared -- 6.7 Conclusions, Challenges Ahead, and On-Going Work -- Chapter 7 Cardiovascular MR Image Analysis -- 7.1 Introduction -- 7.2 Capabilities of MRI -- 7.3 Cardiac MR Segmentation -- 7.4 Vascular MR Image Analysis -- 7.5 MR Assessment of Atherosclerotic Plaque -- 7.6 Conclusions -- 7.7 Acknowledgments -- Chapter 8 Visualization and Segmentation Techniques in 3D Ultrasound Images -- 8.1 Introduction -- 8.2 Basic Principles of 3D Ultrasound -- 8.3 3D US Image Reconstruction -- 8.4 3D US-Guided Prostate Brachytherapy -- 8.5 Prostate Segmentation in 3D US Images -- 8.6 Needle Segmentation in 3D US Images -- 8.7 Brachytherapy Seed Segmentation in 3D US Images -- 8.8 Conclusion -- Chapter 9 Time-Frequency Analysis in Terahertz-Pulsed Imaging -- 9.1 Introduction -- 9.2 Theory -- 9.3 Methods -- 9.4 Results -- 9.5 Discussion -- 9.6 Acknowledgments.