Detection of Crest Lines on Triangular Meshes With Noise

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.