e propose a deformable surface parameterization that is generic and lets us automatically build registered shape databases. This allows us to directly derive low-dimensional shape models using a simple dimensionality reduction technique. This addresses one of the biggest difficulties in example-based shape modeling: Building the required database, which is often a difficult and painstaking process. We incorporate the resulting models into a monocular tracking system that we use to capture the complex deformations of objects such as sheets of papers or expanding balloons from single video sequences.
Anastasia Ailamaki, Iraklis Psaroudakis
Sébastien Marcel, André Anjos, Ivana Chingovska
Jean-Marc Odobez, Florent Monay Michaud, Kenneth Alberto Funes Mora