Topological shape signature for 3D object modelling

Authors:
Miguel Aguilera;Ying Zhang;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;Concordia Institute for Information Systems Engineering, Concordia University, Montréal, QC, Canada
Venue:
MS'06 Proceedings of the 17th IASTED international conference on Modelling and simulation
Year:
2006

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Abstract

We present an invariant shape descriptor for topological coding of 3D objects. The proposed approach encodes a 3D object into a topological graph using a normalized distance function. Unlike the height function which has been traditionally used to model topology, the proposed distance function-based graph is invariant to rigid motion transformations. Simulations results demonstrate the potential of the proposed topological graph which may be used as a shape signature for object matching and reconstruction.