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A novel active appearance model (AAM) search algorithm based on partial least squares (PLS) regression is proposed. PLS models the relationship between independent (texture residuals) and dependent (error in the model parameters) variables in the training phase by extracting from independent and dependent variables a set of orthogonal factors called latent variables respectively which have the maximum...
We propose a novel template-based multi-region segmentation method using a finite element method (FEM) deformation model with diffusion-based regularization. Our proposed method is computationally more efficient than the traditional template-based segmentation methods that use non-parametric or B-spline based deformation models, as it significantly reduces the number of degrees of freedom (DOF) associated...
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