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In this paper, a simple, robust algorithm is proposed for detection crest lines on triangular meshes with noise. We update principal curvature when computing it on noisy models, and use two thresholds to remove unessential ridge and ravine points to guarantee that ridge and ravine points are perceptually salient points. Experimental results demonstrate our algorithm is effective.
An anisotropic smoothing algorithm for removing noise of triangular mesh models is proposed. First, the desirable normals of the triangles are approximated using our desirable normal computing schemes, and then each vertex is repositioned according to desirable normals of adjacent triangular faces. The desirable normals estimated by a weighted sum of normals at neighboring faces. If the face differs...
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