Graph Edit Distance based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition - Archive ouverte HAL
Communication Dans Un Congrès Année : 2015

Graph Edit Distance based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition

Kamel Madi
Eric Paquet
  • Fonction : Auteur
  • PersonId : 971673
Hamida Seba

Résumé

We consider the problem of comparing deformable 3D objects represented by graphs, i.e., triangular tessellations. We propose a new algorithm to measure the distance between triangular tessellations using a new decomposition of triangular tessellations into triangle-Stars. The proposed algorithm assures a minimum number of disjoint triangle-Stars, offers a better measure by covering a larger neighborhood and uses a set of descriptors which are invariant or at least oblivious under most common deformations. We prove that the proposed distance is a pseudo-metric. We analyse its time complexity and we present a set of experimental results which confirm the high performance and accuracy of our algorithm.

Dates et versions

hal-01215859 , version 1 (15-10-2015)

Identifiants

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Kamel Madi, Eric Paquet, Hamida Seba, Hamamache Kheddouci. Graph Edit Distance based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition. International Conference on 3D Vision (3DV 2015), Oct 2015, Lyon, France. ⟨10.1109/3DV.2015.1⟩. ⟨hal-01215859⟩
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