Localization and extraction for feature points of human faces
Jianmin Dong · Computer Engineering and Applications Journal · 2009
An approach is proposed to locate 7 key feature points on human front face automatically,including two pupil points,two nostril points,nasal tip,two corners of mouth points.By using selective masking operator and fisher's linear discriminant to distinguish the regions of facial color and non-facial color.Then fix on facial region,approximate positions of human features are determined by integral projection and knowledge of facial geometrical structure.At last,the positions of the feature points are extracted by methods of Hough transform and SUSAN operators.The experiments show that the method is reliable and practical.It can be applied to many different fields such as security departments,I.D.Card management,video conference,and so on.