Expression-invariant face recognition 1. Facial expression affects the performance of a face recognition 2. Expression changes face geometry, but texture is stable. 3. We conduct recognition based on texture /geometry separately. Related works Related works Separately modeling texture and geometry information in different eigenspaces has been applied in ASM and AAM (by Cootes et al.), however our eigenspaces aim at distinguishing individuals and expressions. Feature spaces and recognition methods Space1: Texture space V tex : eigenspace of warped face textures. Space2: Angle space V ang : eigenspace of the weighted inner angles of masks. Angle weight is the inverse of the angle variance in natural warpings of training faces. Face recognition: the projection of testing face into V tex and V ang are used as two attributes in face recognition by distinguishing natural warpings from artificial warpings. A testing face is recognized as the same individual in a reference face if both attributes are similar. Space3: Angle residual space V res : eigenspace of the angle changes during natural warping.
Warping from “surprise” to “normal” Expression classification: compare the geometry of a testing face with that of the recognized reference face in V res. Mask fitting and warping
34 vertexes and 51 triangles Normal faces Expressioned faces
Natural warpings VS Artificial warpings Natural warping: warping from test face to the reference face of the same individual. Artificial warping: warping from test face to the reference face of a different individual. Results of face recognition
Results of expression classification: 84%
Extension: face recognition on noisy 3D face scan: 1. Expression affects 3D face recognition more seriously, since most geometric features will be mis-aligned. 2. 3D face mask carries face shape information. The displacement from mask to its original face carries face surface feature. 3. In a natural warping, an expressioned face will approach its reference face, by removing expression. In an artificial warping, however, face surface features of testing face will be distorted.