A Semi-automatic 3D mesh segmentation based on Cross-Boundary strokes
Abstract3D segmentation has been a hot spot in numerical geometry processing.
But the accuracy of the segmentation methods can be easily affected by
the types of models because their sensitivity to different models is
uneven. To address this problem, we propose a semi-automatic 3D mesh
segmentation algorithm based on harmonic field. Firstly, our algorithm
utilizes the strokes of users as constraints on the harmonic field of
the mesh surface. Secondly, a smooth harmonic field based on Laplacian
operator and Poisson equation is introduced. Through the generated
harmonic field, the correct weights are selected to further fit the
geometric characteristics of the grid. Afterwards, we find a set of most
suitable isolines on the harmonic field as the segmentation path.
Finally, a mesh density enhancement method is designed, which optimizes
sub-graphs after segmentation. Experimental results demonstrate that the
effectiveness of our proposed algorithm. Moreover, the semi-automatic 3D
mesh segmentation algorithm can better understand the intention of