Agenda

Presenta: Emanuele Rodolà, Università della Svizzera Italiana, CH

Abstract:
Shape correspondence is a fundamental problem in computer graphics and vision, with applications ranging from robotic vision to medical imaging and archaeology. In settings where the shapes are allowed to undergo non-rigid deformations and only partial views are available, the problem becomes very challenging. In this talk we will consider a hybrid approach operating in the spectral as well as the spatial domain to deal with this challenging setting. After introducing some basic notions of spectral shape analysis and functional correspondence, we will present a non-rigid multi-part shape matching algorithm. We assume to be given a reference shape and its multiple parts undergoing a non-rigid deformation. Each of these query parts can be additionally contaminated by clutter, may overlap with other parts, and there might be missing parts or redundant ones. Our method simultaneously solves for the segmentation of the reference model, and for a dense correspondence to (subsets of) the parts. Experimental results on synthetic as well as real scans demonstrate the effectiveness of our method in dealing with this challenging matching scenario.