Thèse : Feature-based matching of animated meshes

Soutenance de thèse : Vasyl MYKHALCHUK

Équipe : IGG

Titre : Feature-based matching of animated meshes

Résumé : We propose a novel, efficient deforming shape analysis and correspondence framework for animated meshes based on their dynamic and motion properties. We elaborate our method by exploiting a profitable set of motion data exhibited by deforming meshes with time-varying embedding. Our approach is based on an observation that a dynamic, deforming shape of a given subject contains much more information rather than a single static posture of it. That is different from the existing methods that rely on static shape information for shape correspondence and analysis. Our framework of deforming shape analysis and correspondence of animated meshes is comprised of several major contributions: a new dynamic feature detection technique based on multi-scale animated mesh’s deformation characteristics, novel dynamic feature descriptor, and an adaptation of a robust graph-based feature correspondence approach followed by the fine matching of the animated meshes.We further use dynamic feature correspondences on the source and target to guide an iterative fine matching of animated meshes in spherical parameterization.  We demonstrate advantages of our methods on different animated meshes of varying subjects, movements, complexities and details.

Le jury est composé d'Edmond Boyer (INRIA Grenoble Rhône-Alpes), de Frederic Cordier (Université de Haute-Alsace), d'Hervé Delingette (INRIA Sophia Antipolis), de Florent Dupont (Université Claude Bernard Lyon1), d'Adrian Hilton (Université de Surrey), de Christian Heinrich et de Hyewon Seo (Université de Strasbourg).

La présentation aura lieu le jeudi 9 avril 2015 à 14h00 dans l'amphithéâtre A301 au Pôle API d'Illkirch. Elle se fera en anglais.