TR96-37
Learning Bilinear Models for Two-Factor Problems in Vision
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- "Learning Bilinear Models for Two-Factor Problems in Vision", Tech. Rep. TR96-37, Mitsubishi Electric Research Laboratories, Cambridge, MA, December 1996.BibTeX TR96-37 PDF
- @techreport{MERL_TR96-37,
- author = {W. T. Freeman, J. B. Tenenbaum},
- title = {Learning Bilinear Models for Two-Factor Problems in Vision},
- institution = {MERL - Mitsubishi Electric Research Laboratories},
- address = {Cambridge, MA 02139},
- number = {TR96-37},
- month = dec,
- year = 1996,
- url = {https://www.merl.com/publications/TR96-37/}
- }
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- "Learning Bilinear Models for Two-Factor Problems in Vision", Tech. Rep. TR96-37, Mitsubishi Electric Research Laboratories, Cambridge, MA, December 1996.
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Research Areas:
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.