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Visually Guided Mesh Smoothing for Medical Applications
[article]
2012
Eurographics Workshop on Visual Computing for Biomedicine
Surface models derived from medical image data often exhibit artifacts, such as noise and staircases, which can be reduced by applying mesh smoothing filters. Usually, an iterative adaption of smoothing parameters to the specific data and continuous re-evaluation of accuracy and curvature is required. Depending on the number of vertices and the filter algorithm, computation time may vary strongly and interfere with an interactive mesh generation procedure. In this paper, we present an approach
doi:10.2312/vcbm/vcbm12/091-098
fatcat:u242rlr3wnd5bh5xe6sq72vrr4