• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Retrieval of Non-rigid 3D Models Based on Approximated Topological Structure and Local Volume

Vol. 11, No.8, August 31, 2017
10.3837/tiis.2017.08.011, Download Paper (Free):

Abstract

With the increasing popularity of 3D technology such as 3D printing, 3D modeling, etc., there is a growing need to search for similar models on the internet. Matching non-rigid shapes has become an active research field in computer graphics. In this paper, we present an efficient and effective non-rigid model retrieval method based on topological structure and local volume. The integral geodesic distances are first calculated for each vertex on a mesh to construct the topological structure. Next, each node on the topological structure is assigned a local volume that is calculated using the shape diameter function (SDF). Finally, we utilize the Hungarian algorithm to measure similarity between two non-rigid models. Experimental results on the latest benchmark (SHREC’ 15 Non-rigid 3D Shape Retrieval) demonstrate that our method works well compared to the state-of-the-art.


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Cite this article

[IEEE Style]
Yiyu Hong and Jongweon Kim, "Retrieval of Non-rigid 3D Models Based on Approximated Topological Structure and Local Volume," KSII Transactions on Internet and Information Systems, vol. 11, no. 8, pp. 3950-3964, 2017. DOI: 10.3837/tiis.2017.08.011

[ACM Style]
Hong, Y. and Kim, J. 2017. Retrieval of Non-rigid 3D Models Based on Approximated Topological Structure and Local Volume. KSII Transactions on Internet and Information Systems, 11, 8, (2017), 3950-3964. DOI: 10.3837/tiis.2017.08.011