Facing the task of model-based retrieval, this paper proposes an L1-medial skeleton-based 3D point cloud model retrieval method. First, L1-medial skeleton is extracted to represent the spatial structural characteristic of… Click to show full abstract
Facing the task of model-based retrieval, this paper proposes an L1-medial skeleton-based 3D point cloud model retrieval method. First, L1-medial skeleton is extracted to represent the spatial structural characteristic of individual 3D point cloud model. Second, the graph matching method is leveraged to handle pairwise 3D models matching problem. To quantitatively evaluate the proposed method, we construct a new 3D point cloud model dataset and implement extensive experiments on it. The experimental results demonstrate the superiority of the proposed method.
               
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