title: Face recognition across non-uniform motion blur, illumination, and pose.
abstract: Existing methods for performing face recognition in the presence of blur are based on the convolution model and cannot handle non-uniform blurring situations that frequently arise from tilts and rotations in hand-held cameras. In this paper, we propose a methodology for face recognition in the presence of space-varying motion blur comprising of arbitrarily-shaped kernels. We model the blurred face as a convex combination of geometrically transformed instances of the focused gallery face, and show that the set of all images obtained by non-uniformly blurring a given image forms a convex set. We first propose a non-uniform blur-robust algorithm by making use of the assumption of a sparse camera trajectory in the camera motion space to build an energy function with l1 -norm constraint on the camera motion. The framework is then extended to handle illumination variations by exploiting the fact that the set of all images obtained from a face image by non-uniform blurring and changing the illumination forms a bi-convex set. Finally, we propose an elegant extension to also account for variations in pose.
authors.forename: Abhijith
authors.initials: A
authors.lastname: Punnappurath
authors.forename: Ambasamudram Narayanan
authors.initials: AN
authors.lastname: Rajagopalan
authors.forename: Sima
authors.initials: S
authors.lastname: Taheri
authors.forename: Rama
authors.initials: R
authors.lastname: Chellappa
authors.forename: Guna
authors.initials: G
authors.lastname: Seetharaman
mesh_terms: D016477:Artifacts; D001699:Biometry / Q000379:methods; D005145:Face / Q000033:anatomy & histology*; D000066499:Facial Recognition / Q000502:physiology*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008029:Lighting / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods; D010781:Photography / Q000379:methods*; D011187:Posture / Q000502:physiology; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique