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Triangular meshes often contain a few salient features. Traditional deformation algorithms mainly preserve the local details and volume, thus producing unnatural results. This paper proposes a robust and effective algorithm to prevent the distortion of salient features. Firstly, the salient features can be automatically extracted through saliency-based clustering and aggregation. A nonlinear energy function is then minimized to make the salient features behave rigidly to retain the shape. Finally, for the robustness of the minimization, we generate a coarse solid subspace around the input mesh, and carry out the energy minimization in this subspace.Experiments show that our algorithm can preserve the salient features and obtain visual-pleasing results.
This paper proposes a robust and effective algorithm to prevent the distortion of salient features. Firstly, the salient features can be automatically extracted through saliency-based clustering and aggregation. A nonlinear energy function is then minimized to make the salient features behave rigidly to retain the shape. Finally, for the robustness of the minimization, we generate a coarse solid subspace around the input mesh, and carry out the energy minimization in this subspace.Experiments show that our algorithm can preserve the salient features and obtain visual-pleasing results.