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Registering a MultiSensor Ensemble of Images

In this project we propose a maximum-likelihood clustering method that registers all the images in a multisensory ensemble simultaneously. Experiments involving rigid-body and affine transformations show that the clustering method is more robust and accurate than competing pairwise registration methods.



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