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Surface Deformation Models for Nonrigid 3D Shape Recovery
August 2007 (vol. 29 no. 8)
pp. 1481-1487
Three-dimensional detection and shape recovery of a nonrigid 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 3D 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 3D deformation models. We show that these models can be used to accurately model a wide range of deforming 3D surfaces from video sequences acquired under realistic conditions.
Index Terms:
3D shape recovery, deformation model, nonrigid surfaces.
Citation:
Mathieu Salzmann, Julien Pilet, Slobodan Ilic, Pascal Fua, "Surface Deformation Models for Nonrigid 3D Shape Recovery," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 8, pp. 1481-1487, Aug. 2007, doi:10.1109/TPAMI.2007.1080
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