3D model retrieval using weighted bipartite graph matching
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摘要
In this paper, we propose a view-based 3D model retrieval algorithm, where many-to-many matching method, weighted bipartite graph matching, is employed for comparison between two 3D models. In this work, each 3D model is represented by a set of 2D views. Representative views are first selected from the query model and the corresponding initial weights are provided. These initial weights are further updated based on the relationship among these representative views. The weighted bipartite graph is built with these selected 2D views, and the matching result is used to measure the similarity between two 3D models. Experimental results and comparison with existing methods show the effectiveness of the proposed algorithm.
论文关键词:3D model retrieval,Random walk,Weighted bipartite graph matching
论文评审过程:Received 25 May 2009, Accepted 22 October 2010, Available online 28 October 2010.
论文官网地址:https://doi.org/10.1016/j.image.2010.10.006