Local facial asymmetry for expression classification

We explore a novel application of facial asymmetry: expression classification. Using 2D facial expression images, we show the effectiveness of automatically selected local facial asymmetry for expression recognition. Quantitative evaluations of expression classification using local asymmetry demonstrate statistically significant improvements over expression classification results on the same data set without explicit representation of facial asymmetry. A comparison of discriminative local facial asymmetry features for expression classification versus human identification is given.

[1]  Yanxi Liu,et al.  Facial asymmetry quantification for expression invariant human identification , 2003, Comput. Vis. Image Underst..

[2]  Randy Thornhill,et al.  Facial attractiveness , 1999, Trends in Cognitive Sciences.

[3]  K. Heilman,et al.  Digitizing the moving face during dynamic displays of emotion , 2000, Neuropsychologia.

[4]  Yanxi Liu,et al.  A quantified study of facial asymmetry in 3D faces , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).

[5]  Steven M. Seitz,et al.  View morphing , 1996, SIGGRAPH.

[6]  Rama Chellappa,et al.  Symmetric Shape-from-Shading Using Self-ratio Image , 2001, International Journal of Computer Vision.

[7]  Takeo Kanade,et al.  Comprehensive database for facial expression analysis , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[8]  R. Campbell.  THE LATERALISATION OF EMOTION: A CRITICAL REVIEW , 1982 .

[9]  Srinivas Gutta,et al.  An investigation into the use of partial-faces for face recognition , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[10]  E. Koff,et al.  Facial asymmetry during emotional expression: Gender, valence, and measurement technique , 1998, Neuropsychologia.

[11]  R. Basri,et al.  Statistical Symmetric Shape from Shading for 3D Structure Recovery of Faces , 2004, eccv 2004.

[12]  Aleix M. Martínez,et al.  Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Oliver Deussen,et al.  Wang Tiles for image and texture generation , 2003, ACM Trans. Graph..

[14]  Michael Lindenbaum,et al.  Shape Reconstruction of 3D Bilaterally Symmetric Surfaces , 2000, International Journal of Computer Vision.