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Non-rigid 3D Model Retrieval Based on Topological Approximation and Shape Diameter Function

Authors:
Yiyu Hong
Jongweon Kim

Keywords: non-rigid model retrieval; integral geodesic distance; shape diameter function; the Hungarian algorithm;

Abstract:
With the increasing popularity of 3D technology like 3D printing, 3D modeling, etc., there is a growing need for searching similar models on the Internet. Subsequently, 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 Shape Diameter function (SDF). 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, which is calculated using the Shape Diameter function. 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.

Pages: 63 to 67

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-506-7

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016