IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multilinear Analysis of Image Ensembles: TensorFaces
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Statistical Foreground Modelling for Object Localisation
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Building efficient, accurate character skins from examples
ACM SIGGRAPH 2003 Papers
Rank Constrained Recognition under Unknown Illuminations
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Face transfer with multilinear models
ACM SIGGRAPH 2005 Papers
Separating Style and Content with Bilinear Models
Neural Computation
ACM SIGGRAPH 2006 Courses
Face transfer with multilinear models
ACM SIGGRAPH 2006 Courses
Face recognition under arbitrary illumination using illuminated exemplars
Pattern Recognition
Pose-encoded spherical harmonics for face recognition and synthesis using a single image
EURASIP Journal on Advances in Signal Processing
IEICE - Transactions on Information and Systems
Probabilistic identity characterization for face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Illuminating light field: image-based face recognition across illuminations and poses
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Pose-encoded spherical harmonics for robust face recognition using a single image
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Illumination invariant face recognition using linear combination of face exemplars
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Robust face recognition across lighting variations using synthesized exemplars
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Dynamic water motion analysis and rendering
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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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''.Bilinear models offer a powerful framework for extracting the two-factor structure of a set of observations, and are familiar in computational vision from several well-known lines of research. This paper shows how bilinear models can be used to learn the style-content structure of a pattern analysis or synthesis problem, which can then be generalized to solve related tasks using different styles and/or content. We focus on three tasks: extrapolating the style of data to unseen content classes, classifying data with known content under a novel style, and translating data from novel content classes and style to a known style or content. We show examples from color constancy, face pose estimation, shape-from-shading, typography and speech.