A Novel Method for Extracting Facial Feature Points
Liming Zhang · Fudan xuebao. Ziran Kexue ban · 2006
Automatic extraction of facial feature points plays an important part in the fields like face recognition or 3D face model reconstruction.In the applications of 3D face model reconstruction,the precision of facial feature points,especially on chin contours,affects the reconstructed result directly.A method(GA-AAM) for searching facial feature points combining AAM with genetic algorithm(GA) is proposed,which can improve the precision of searched chin contours.After coarse searching of real-time AAM,edge information is invited in its cost function for further optimizing.Experimental results show that the proposed method can converge chin contours more precisely and efficiently.