关键词: 人脸表情，人脸识别，微分梯度场，刚性区域

Abstract: For expression impact on face recognition accuracy, a guidcbased model was proposed to weaken local expression, and the mesh deformation technology was used to reduce the plastic deformation of facial expression. First the expression area was transformed according to triangular patches,and the deformation gradient was calculated according to gradient operator to realize the guidcbased differential gradient field transform, and then the Poisson equation was used to complete the triangle stitching and reconstruction. The rigid region in expression face was found to get the class average face differences and constraints. hhe constraints was used to maintain the differences between classes and within-class similarity. Comparing with other algorithms, the face recognition accuracy rate is improved significantly, and the effectiveness is proved.

Key words: Face expression, Face recognition, Differential gradient field, Rigid region