Salzmann, MathieuPilet, JulienIlic, SlobodanFua, Pascal2010-06-232010-06-232010-06-23200710.1109/TPAMI.2007.1080https://infoscience.epfl.ch/handle/20.500.14299/50969WOS:0002471865000163--D detection and shape recovery of a non-rigid surface from video sequences require deformation models to effectively take advantage of potentially noisy image data. Here we introduce an approach to creating such models for deformable 3--D surfaces. We exploit the fact that the shape of an inextensible triangulated mesh can be parameterized in terms of a small subset of the angles between its facets. We use this set of angles to create a representative set of potential shapes, which we feed to a simple dimensionality reduction technique to produce low-dimensional 3--D deformation models. We show that these models can be used to accurately model a wide range of deforming 3--D surfaces from video sequences acquired under realistic conditions.3--D shape recoveryDeformation modelNon-rigid surfacesml-aitext::journal::journal article::research article