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Modular linear iconic matching using higher order graphs
2015
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
We introduce a novel approach to tackle iconic linear mapping between two images. We adopt a grid-based parametrization of the deformation field that is encoded by a higher order graphical model. In the proposed formulation, latent variables correspond to local grid displacement vectors and unary potentials locally quantify the level of alignment between the two images. Higher order constraints that involve third and forth order potentials, enforce the linearity of the resulting transformation.
doi:10.1109/isbi.2015.7164063
dblp:conf/isbi/FecampSP15
fatcat:uc26ha32fjeftlvv4wdjb2zruq