Mesh saliency is an important geometrical characteristic of 3D mesh model and has been applied in many applications. Inspired by the existing algorithms, a novel multi-scale saliency detection method based on local patch weighted curvature entropy was proposed. A local coordinate system and curvature value of each vertex was estimated. An improved adaptive patch was defined on the tangent plane using accumulated volume of neighborhood. Furthermore, deviation of the patch of each vertex to their neighborhood was defined as the weight of curvature value. The Shannon entropy of weighted curvature values of neighbor vertices within a sphere centered at each vertex was defined as their saliency scores. Comparisons with state-of-the-art methods have shown the competitive performance in computation speed and the advantage in saliency detection ability of our method.
Wang Xiaodong
,
Liang Hongtao
,
Kang Fengju
,
Gu Hao
. Multi-scale Mesh Saliency with Local Patch Weighted Curvature Entropy[J]. Journal of System Simulation, 2017
, 29(9)
: 1976
-1983
.
DOI: 10.16182/j.issn1004731x.joss.201709014
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