Learning Bilinear Models for Two-Factor Problems in Vision
Date:
December 1996
Authors: W. T. Freeman, J. B. Tenenbaum
Where Published: Proc. IEEE Computer Vision and Pattern Recognition (CVPR '97), Puerto Rico
Abstract: In many vision problems, we want to infer two (or more) hidden factors which interact to produce our observations. We may want to disentangle illuminant and object colors in color constancy; rendering conditions from surface shape in shape-from-shading; face identity and head pose in face recognition; or font and letter class in character recognition. We refer to these two factors generically as "style" and "content". This paper received Outstanding Paper prize, CVPR '97.
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