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Projet de maîtrise, de doctorat ou stage postdoctoral en apprentissage automatique au sein de l'équipe du Prof. Christian Gagné : veuillez consulter l'annonce suivante pour tous les détails : http://vision.gel.ulaval.ca/~cgagne/postes2017.html

 

 

 

 

REPARTI

MIVIM

Oct 25 2013 11:30AM

Sarah Ali

An approach for local comparison of deformable 3D models



Résumé

In this work we present a local comparison approach of deformable 3D models. Two types of deformation are discussed. The first is volume change which is caused by either an increase or a decrease of the body volume. In the second type of deformation, the volume of the model is not altered but the change in shape results from either an articulation or a bending of parts of the object. Our strategy begins with a global alignment of the two shapes such that only their common unchanged parts will be aligned perfectly, revealing minimal distances between the parts. However, the deformed parts after alignment will be distinct and observable. In addition we provide an accurate and simple algorithm to measure the difference between the deformed parts of the models after the alignment. Experiments were conducted with real scanned 3D data in order to verify the performance of the proposed method.




     
   
   

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