INVESTIGATION OF DIFFERENTIAL METHOD DETECTING FEATURE POINTS ON FACE CONTOUR
The method of differential feature point detection that includes contour tracking and curvature function is implemented in the paper. It is shown that the differential method is simple for implementation, does not require a lot of hardware resources, has a high performance, however it is noise vulnerable. To increase noise immunity level is used smoothed curvature function; however, due to approximations the small shift of characteristic points is detected. The computational experiments to identify effective coefficient of smoothing threshold were held.