Optical Imaging Sensors and Systems for Homeland Security Applications

Chapter 1 3D Object Reconstruction and Recognition Techniques Based on Digital Holography

Chapter 2 Compression of Encrypted Digital Holograms Using Artificial Neural Networks

Chapter 3 Digital Holography: Recent Advancements and Prospective Improvements for Applications in Microscopy

Chapter 4 Hybrid Optical Encryption of a 3D Object by Use of a Digital Holographic Technique

Chapter 5 3D Object Recognition using Gabor Feature Extraction and PCA-FLD Projections of Holographically Sensed Data

Chapter 6 Distortion-tolerant 3D Volume Recognition Using X-ray Imaging

Chapter 7 3D Imaging and Recognition of Microorganism Using Single-exposure Online (SEOL) Digital Holography

Chapter 8 Integral Imaging Applied to the Digital Reconstruction and Recognition of 3D Scenes

Chapter 9 Real-time Remote Identification and Verification of Objects Using Optical ID Tags

Chapter 10 An Adaptive Technique for Minimizing Rate of Sensory Data Transmission in Unmanned Aerial Vehicles

Chapter 11 Information Processing Across Distributed and Netted Systems for Security and Surveillance

Chapter 12 Composite Correlation Filters and Neural Networks for Identification and Pose Estimation

Chapter 13 Evolutionary Sensor Fusion for Security

Chapter 14 The Use of Synthetic Data in Eye/Face Recognition

Chapter 15 Hyperspectral Target Detection Based on Kernels

Chapter 16 Detecting 3D Location and Shape of Distorted 3D Objects Using LADAR Trained Optimum Nonlinear Filters

Chapter 17 Planar Microoptical Systems for Correlation and Security Applications

Chapter 18 Optical Waveguide-mode Resonant Biosensors

Chapter 19 Improved Optical Document Security Techniques Based on Volume Holography and Lippmann Photography