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

• Yiyu Hong,
• Jongweon Kim,

Vol. 11, No. 8, August 30, 2017
10.3837/tiis.2017.08.011, Download Paper (Free):

• Non-rigid model
• Integral geodesic distance
• Shape Diameter Function
• The Hungarian algorithm

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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