Illumination cones for recognition under variable lighting: faces
Georghiades, A.S.; Kriegman, D.J.; Belhurneur, P.N.
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Volume , Issue , 23-25 Jun 1998 Page(s):52 - 58
Digital Object Identifier 10.1109/CVPR.1998.698587
Summary:Due to illumination variability, the same object can appear
dramatically different even when viewed in fixed pose. To handle this
variability, an object recognition system must employ a representation
that is either invariant to, or models this variability. This paper
presents an appearance-based method for modeling the variability due to
illumination in the images of objects. The method differs from past
appearance-based methods, however, in that a small set of training
images is used to generate a representation-the illumination cone-which
models the complete set of images of an object with Lambertian
reflectance map under an arbitrary combination of point light sources at
infinity. This method is both an implementation and extension (an
extension in that it models cast shadows) of the illumination cone
representation proposed in Belhumeur and Kriegman (1996). The method is
tested on a database of 660 images of 10 faces, and the results exceed
those of popular existing methods
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