Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.image.2010.10.006
Title: 3D model retrieval using weighted bipartite graph matching
Authors: Gao, Y.
Dai, Q.
Wang, M. 
Zhang, N.
Keywords: 3D model retrieval
Random walk
Weighted bipartite graph matching
Issue Date: 2011
Source: Gao, Y., Dai, Q., Wang, M., Zhang, N. (2011). 3D model retrieval using weighted bipartite graph matching. Signal Processing: Image Communication 26 (1) : 39-47. ScholarBank@NUS Repository. https://doi.org/10.1016/j.image.2010.10.006
Abstract: 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. © 2010 ElsevierB.V.Allrightsreserved.
Source Title: Signal Processing: Image Communication
URI: http://scholarbank.nus.edu.sg/handle/10635/38999
ISSN: 09235965
DOI: 10.1016/j.image.2010.10.006
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