Feature extraction in 3D model based on point-pairs distribution
基于点对分布的三维模型特征提取算法

A new method of feature extraction in 3D model was proposed based on point-pairs distribution. According to whether there is an intersection point of stochastic connecting lines and the model, the lines were classified into U set or W set, and then the feature chart was constructed. The models that had similar shape but dissimilar detail could be well retrieved. The retrieval precision was increased a lot.