Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes
International Journal of Computer Vision
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Recognition and Structure from one 2D Model View: Observations on Prototypes, Object Classes and Symmetries
Example Based Image Analysis and Synthesis
Example Based Image Analysis and Synthesis
Journal of Cognitive Neuroscience
IEEE Transactions on Image Processing
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This paper proposes a method for reconstructing a whole face image from partial information based on a morphable face model. Faces are modeled by linear combinations of prototypes of shape and texture. With the shape and texture information of pixels in an given region, we can estimate optimal coefficients for linear combinations of prototypes of shape and texture. In such an over-determined condition, where the number of pixels in the given region is greater than the number of prototypes, we find an optimal solution using projection for least square minimization (LSM). Our experimental results show that reconstructed faces are very natural and plausible like real photos. We interpret the encouraging performance of our proposed method as evidence in support of the hypothesis that the human visual system may reconstruct an whole information from partial information using prototypical examples.