Representative Patch-based Active Appearance Models Generated from Small Training Populations


Active Appearance Models (AAMs) and Constrained Local Models (CLMs) are classical approaches for model-based image segmentation in medical image analysis. AAMs consist of global statistical models of shape and appearance, are known to be hard to fit, and often suffer from insufficient generalization capabilities in case of limited training data. CLMs model… (More)
DOI: 10.1007/978-3-319-66182-7_18


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