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.
© 2005 Optical Society of America
Full Article | PDF ArticleMore Like This
Ajmal Mian
Opt. Express 19(8) 7491-7506 (2011)
Abhijith Punnappurath and Ambasamudram Narayanan Rajagopalan
J. Opt. Soc. Am. A 33(9) 1887-1900 (2016)
Vishal M. Patel, Yi-Chen Chen, Rama Chellappa, and P. Jonathon Phillips
J. Opt. Soc. Am. A 31(5) 1090-1103 (2014)