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Séminaires REPARTI

Les Séminaires REPARTI à l'Université Laval ont lieu le vendredi à 11h30.
Veuillez consulter le programme pour plus de détails.

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
Sep 22 2017 11:30AM
Online optimization of microscopy imaging parameters







Nov 22 2013 11:30AM

Zahra Toony

3D-PIC: Power Iteration Clustering for Segmenting Three-Dimensional Models


Segmenting a 3D model is an important challenge since this operation is relevant for many applications. It is very important in 3D image processing that the segmentation algorithm be able to find relevant and meaningful geometric primitives automatically. Here, we adapted a 2D spectral segmentation method, Power Iteration Clustering (PIC), to the case of 3D models. This method is fast and easy to implement. A similarity matrix based on normals to vertices is defined and a modified version of PIC is implemented in order to segment a 3D model. The proposed method is validated on both free-form and CAD (Computer Aided Design) models, on real data captured by handheld 3D scanners, and in the presence of noise. Results demonstrate the efficiency and robustness of the method in all cases.


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