A method for segmenting mesh models in digital images includes providing (11) a mesh surface model (V, F, E) of a shape embedded in a 3-dimensional space, providing (12) a ground truth segmentation of the mesh surface model, constructing (13) a feature vector vi composed of underlying geometric properties of the mesh at each vertex point, using (14) the ground truth segmentation and the feature vectors to determine weights wij for edges eij where the weights wij are the probabilities of a random walker crossing edges eij between vertices vi and vj in a random walker segmentation initialized with at least two seeds of different labels.
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机译：一种在数字图像中分割网格模型的方法，包括提供（ 11 ）嵌入在3维空间中的形状的网格表面模型（V，F，E），提供（ 12 < / B>）网格表面模型的地面真值分割，构造（ 13 ）由每个顶点上网格的基本几何特性组成的特征向量v i ，使用（ 14 ）地面真值分割和特征向量来确定边缘e ij 的权重w ij ，其中权重w ij 是在初始化为的随机沃克分割中，顶点v i 和v j 之间的顶点之间的随机沃克穿越边缘e ij 的概率至少两个不同标签的种子。
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