A novel method is developed to assess facial expression motion and paralysis quantitatively using an optical flow technique based on genetic algorithm (GAOF). This method is more reliable than other assessment methods when only small subpixel motions occur. Experimental results demonstrate that this method is very useful to diagnose the site of facial paralysis and assess progression or recovery profiles of patients combined with other diagnosis methods.
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