title: Image-based face recognition under illumination and pose variations.
abstract: We present an image-based method for face recognition across different illuminations and poses, where the term image-based means that no explicit prior three-dimensional models are needed. As face recognition under illumination and pose variations involves three factors, namely, identity, illumination, and pose, generalizations in all these three factors are desired. We present a recognition approach that is able to generalize in the identity and illumination dimensions and handle a given set of poses. Specifically, the proposed approach derives an identity signature that is illumination- and pose-invariant, where the identity is tackled by means of subspace encoding, the illumination is characterized with a Lambertian reflectance model, and the given set of poses is treated as a whole. Experimental results using the Pose, Illumination, and Expression (PIE) database demonstrate the effectiveness of the proposed approach.
authors.affiliation: Center for Automation Research and Department of Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20742, USA. kzhou@scr.siemens.com
authors.forename: Shaohua Kevin
authors.initials: SK
authors.lastname: Zhou
authors.forename: Rama
authors.initials: R
authors.lastname: Chellappa
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D005145:Face / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D008029:Lighting; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods; D011187:Posture; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity