Expression-invariant face recognition1. Facial expression affects the performance of a face recognition2. Expression changes face geometry, but texture is stable.3. We conduct recognition based on texture /geometry separately.Related worksRelated worksSeparately modeling texture and geometry information indifferent eigenspaces has been applied in ASM and AAM (byCootes et al.), however our eigenspaces aim at distinguishingindividuals and expressions.Feature spaces and recognition methodsSpace1: Texture space Vtex : eigenspace of warped face textures.Space2: Angle space Vang : eigenspace of the weighted inner anglesof masks. Angle weight is the inverse of the angle variance innatural warpings of training faces.Face recognition: the projection of testing face into Vtex and Vangare used as two attributes in face recognition by distinguishingnatural warpings from artificial warpings. A testing face isrecognized as the same individual in a reference face if bothattributes are similar.Space3: Angle residual space Vres : eigenspace of the anglechanges during natural warping. Warping from “surprise” to “normal”Expression classification: compare the geometry of a testingface with that of the recognized reference face in Vres.Mask fitting and warping 34 vertexes and51 triangles Normalfaces Expressioned faces NaturalwarpingsVSArtificialwarpingsNatural 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 recognitionResults of expression classification: 84%Extension: face recognition on noisy 3D face scan:1. Expression affects 3D face recognitionmore seriously, since most geometricfeatures will be mis-aligned.2. 3D face mask carries face shapeinformation. The displacement from mask to its original face carries facesurface feature.3. In a natural warping, an expressionedface will approach its reference face, byremoving expression. In an artificialwarping, however, face surface featuresof testing face will be distorted.