Particle Tracking Velocimetry.

Intro
Author biographies
Dana Dabiri
Charles Pecora
Chapter 1 Introduction
References
Chapter 2 Experimental set-up
2.1 Tracer particles
2.1.1 Tracers in liquid flows
2.1.2 Tracers in subsonic gas flows
2.1.3 Tracers in supersonic flows
2.2 Illumination
2.3 Area/volume illumination optics
2.4 Camera
References
Chapter 3 Particle image identification
3.1 Non-overlapped particles
3.1.1 Threshold binarization
3.1.2 Centroid estimation
3.1.3 Gaussian estimation
3.2 Overlapped particles
3.2.1 Threshold binarization
3.2.2 Neural network particle identification
3.2.3 Particle mask correlation
3.2.4 Optical flow feature extraction
3.2.5 Linear model inversion
3.3 Particle identification comparison
3.3.1 Non-overlapped particle identification comparison
3.3.2 Overlapped particle identification comparison
References
Chapter 4 Identification of particles' spatial locations
4.1 Spatial location in 2D
4.2 Spatial localization in 3D
4.2.1 Photogrammetric PTV
4.2.2 Tomographic PTV
4.2.3 Synthetic aperture PTV
4.2.4 Plenoptic imaging
4.2.5 Holographic PTV
4.3 Optical distortions and calibration in PTV systems
4.3.1 2D calibration
4.3.2 Stereoscopic calibration
4.3.3 3D calibration
References
Chapter 5 Particle tracking techniques
5.1 Multi-frame approach
5.2 Cross correlation
5.3 Relaxation methods
5.4 Neural networks
5.5 Velocity gradient tensor
5.6 Polar-coordinate similarity
5.7 Optimization methods
5.7.1 Deterministic annealing
5.7.2 Variational approach
5.7.3 Genetic algorithms
5.7.4 Ant colony optimization
5.7.5 Fuzzy logic PTV
5.8 Delaunay tessellation methods
5.9 Voronoi diagram methods
5.10 Vision-based PTV
5.11 Statistical approach
5.12 Outlier detection
References.

Chapter 6 Combined tracking and localization for 3D PTV
6.1 Shake-the-box
References
Chapter 7 3D-PTV comparison
References
Chapter 8 Post-processing
8.1 Interpolation
8.2 Pressure calculation
References
Chapter 9 Conclusions
References.