Research

Face Recognition with Time-Varying Expressions for Homeland Security Applications


Figure 1

Fig-1: All images are registered using selected control points, related to the two eyes and nose. Each pair of control points is determined using normalized cross-correlation. The images are then registered using a linear transform. The image above shows results of image registration. (a) Corresponding point selection (b) Unregistered (input image); (c) Base image; (d) Registered image. 

Figure 2

Fig.2  Registered data base of faces

Figure 3

Fig.3: Example of images used in the unregistered (raw) vs. registered images investigation.  (a) whole raw; (b) whole registered; (c) partial raw; (d) partial registered; (e) ellipse raw; (f) ellipse registered

Figure 4

Fig-4: Effect of varying the amount of information in an image on the recognition accuracy

Figure 5

Fig 5: Effect of varying the amount of information in an image on the recognition accuracy (no off-the-plane rotation). 


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