Fusion of Visual and Thermal Face Recognition Techniques: A ...

List of Figures
Figure 1: A framework for the comparison of visual (Vi), thermal (Th), data fusion (Df),
decision fusion based on average confidence rates( Fa), and decision fusion based
on higher confidence rates (Fh) face recognition system ......................................... 14
Figure 2: Example of visual and thermal images from Equinox ...................................... 17
Figure 3: Image acquisition platform................................................................................ 19
Figure 4: Example of visual and thermal images taken at the same time......................... 19
Figure 5: Visual and thermal images taken from rotary system ....................................... 20
Figure 6: A data fusion example....................................................................................... 22
Figure 7: Problems with edge detection results using thermal images............................. 24
Figure 8: Problems with histogram methods .................................................................... 25
Figure 9: Average thermal images.................................................................................... 26
Figure 10: Average thermal images without (top)/with (bottom) eyeglasses................... 26
Figure 11: Facial feature variations of average images indicated by histograms ............. 27
Figure 12: Ellipse fitting demo ......................................................................................... 29
Figure 13: Face detection diagram.................................................................................... 30
Figure 14: Face detection example ................................................................................... 31
Figure 15: Diagram of eyeglass detection algorithm........................................................ 32
Figure 16: Eyeglass detection example............................................................................. 34
Figure 17: Performance of eyeglass detection with FAR and FRR.................................. 35
Figure 18 : The average eye regions template .................................................................. 36
Figure 19: Data fusion after eyeglass removal ................................................................. 37
Figure 20: Geometrical distances on the face................................................................... 38
Figure 21: Different landmarks......................................................................................... 39
Figure 22: Features based on face regions........................................................................ 39
Figure 23: Eigenface-based face recognition system........................................................ 40
Figure 24: Accuracy results based on shortest Euclidean distance (distance, points)...... 42
Figure 25: Comparison of our experiments with FaceIt® ................................................ 42
Figure 26: FaceIt® software templates............................................................................. 43
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