Annonce

Bonjour,

J'ai le plaisir de vous annoncer la soutenance de ma thèse intitulée :

"Detection and Identification of Elliptical Structure Arrangements in Images: Theory and Algorithms"

en vue de l'obtention du doctorat "Image, Information et Hypermédia" de l'Université de Toulouse.

La soutenance aura lieu le 19 janvier 2012 à 14h30 dans la salle des thèses de l'ENSEEIHT (2 rue Charles Camichel, 31071 Toulouse).

Le jury est composé de :

• M. Lionel Moisan, Université Paris Descartes, Rapporteur
• Mme. Luce Morin, INSA de Rennes, Rapporteur
• M. Peter Sturm, INRIA Rhône-Alpes, Grenoble, Rapporteur
• Mme. Florica Moldoveanu, Université Politehnica de Bucarest, Examinateur
• M. Jean-Pierre Jessel, Université de Toulouse, Directeur de thèse
• M. Victor-Valeriu Patriciu, Académie Technique Militaire de Bucarest, Directeur de thèse
• M. Pierre Gurdjos, CNRS, Co-encadrant

Résumé de thèse :

This thesis deals with different aspects concerning the detection, fitting, and identification of elliptical features in digital images. We put the geometric feature detection in the a contrario statistical framework in order to obtain a combined parameter-free line segment, circular/elliptical arc detector, which controls the number of false detections. To improve the accuracy of the detected features, especially in cases of occluded circles/ellipses, a simple closed-form technique for conic fitting is introduced, which merges efficiently the algebraic distance with the gradient orientation. Identifying a configuration of coplanar circles in images through a discriminant signature usually requires the Euclidean reconstruction of the plane containing the circles.  We propose an efficient signature computation method that bypasses the Euclidean reconstruction; it relies exclusively on invariant properties of the projective plane, being thus itself invariant under perspective.