Retrieving articulated 3D objects using normalized distance function

Authors:
Waleed Mohamed;A. Ben Hamza
Affiliations:
Concordia Institute for Information Systems Engineering, Concordia University, Montréal, QC, Canada;Concordia Institute for Information Systems Engineering, Concordia University, Montréal, QC, Canada
Venue:
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Year:
2010

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Abstract

In this paper we propose a skeletonization approach that encodes a 3D object into a skeletal Reeb graph using a normalized mixture distance function. Then, we introduce a novel graph matching algorithm by comparing the relative shortest paths betwveen the skeleton endpoints. Experimental results demonstrate the feasibility of the proposed topological Reeb graph as a shape signature for 3D object retrieval using a benchmark of articulated shapes.