The 3D Model Retrieval Based on Local Features

Lei Huo, Xueqiang Lv, Kai Zhang, Zhuo Li
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Abstract

When using global features for 3D model retrieval, we ignore the local similarity of 3D model. To solve this problem, we propose a 3D model retrieval method based on local features. First, calculate the normal of each vertex, get the normal projection of each vertex and identify salient points according to the SURF feature of the projection. Extract the local feature around the salient points obtained, and use the local feature to update the global similarity. The experimental results show that this method can effectively improve the 3D model retrieval precision.
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基于局部特征的三维模型检索
在利用全局特征进行三维模型检索时,忽略了三维模型的局部相似度。为了解决这一问题,我们提出了一种基于局部特征的三维模型检索方法。首先,计算每个顶点的法线,得到每个顶点的法线投影,并根据投影的SURF特征识别突出点。提取得到的显著点周围的局部特征,利用局部特征更新全局相似度。实验结果表明,该方法能有效提高三维模型的检索精度。
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