@article {12660,
	title = {Image-based face recognition under illumination and pose variations},
	journal = {Journal of the Optical Society of America AJ. Opt. Soc. Am. A},
	volume = {22},
	year = {2005},
	month = {2005/02/01/},
	pages = {217 - 229},
	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.},
	keywords = {illumination, pattern recognition},
	doi = {10.1364/JOSAA.22.000217},
	url = {http://josaa.osa.org/abstract.cfm?URI=josaa-22-2-217},
	author = {Zhou,Shaohua Kevin and Chellapa, Rama}
}
