Estimating mixture models of images and inferring spatial transformations using the EM algorithm

@article{Frey1999EstimatingMM,
  title={Estimating mixture models of images and inferring spatial transformations using the EM algorithm},
  author={Brendan J. Frey and Nebojsa Jojic},
  journal={Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)},
  year={1999},
  volume={1},
  pages={416-422 Vol. 1}
}
Mixture modeling and clustering algorithms are effective, simple ways to represent images using a set of data centers. However, in situations where the images include background clutter and transformations such as translation, rotation, shearing and warping, these methods extract data centers that include clutter and represent different transformations of essentially the same data. Taking face images as an example, it would be more useful for the different clusters to represent different poses… CONTINUE READING

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