Deformable Shape Retrieval using Bag-of-Feature techniques - IMT - Institut Mines-Télécom Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

Deformable Shape Retrieval using Bag-of-Feature techniques

Mohamed Daoudi
Olivier Colot

Résumé

We present a novel method for 3D-shape matching using Bag-of-Feature techniques (BoF). The method starts by selecting and then describing a set of points from the 3D-object. Such descriptors have the advantage of being invariant to different transformations that a shape can undergo. Based on vector quantization, we cluster those descriptors to form a shape vocabulary. Then, each point selected in the object is associated to a cluster (word) in that vocabulary. Finally, a BoF histogram counting the occurrences of every word is computed. These results clearly demonstrate that the method is robust to non-rigid and deformable shapes, in which the class of transformations may be very wide due to the capability of such shapes to bend and assume different forms.
Fichier principal
Vignette du fichier
tabiaSPIE2011.pdf (795.19 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00666739 , version 1 (06-02-2012)

Identifiants

  • HAL Id : hal-00666739 , version 1

Citer

Hedi Tabia, Mohamed Daoudi, Jean-Philippe Vandeborre, Olivier Colot. Deformable Shape Retrieval using Bag-of-Feature techniques. 3D Image Processing (3DIP) and Applications II, Jan 2011, San Francisco, United States. pp.7864B-28. ⟨hal-00666739⟩
254 Consultations
200 Téléchargements

Partager

Gmail Facebook X LinkedIn More