Image-based face recognition under illumination and pose variations.
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.
Zhou
Shaohua Kevin
SK
Center for Automation Research and Department of Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20742, USA. kzhou@scr.siemens.com
Chellappa
Rama
R
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