Study of pose and expression variant face recognition based on Candide-3 model
Yuqing He · Jisuanji gongcheng yu sheji · 2012
For pose and expressions seriously affecting to the accuracy of face recognition,based on the Candide-3 model,a method of pose and expression key points fitting to reconstruct face geometry and texture mapping based on Triangular mesh model are proposed.First the eyes,nose,mouth feature points are determined according to the face geometry information,then the pose angle are determined,facial expressions corresponding points are extracted with Candide-3 model,the model parameters are adjusted to make structural reconstruction,then texture mapping of each triangle mesh in the geometry are completed to obtain specific 3D face reconstruction model.Experiment shows that the method improve the speed of 3D face reconstruction and the effect of pose and expression variant to face recognition is reduced.