g-HDAF Multiresolution Deformable Models for Shape Modeling and Reconstruction

In this paper, we construct a new class of deformable models using new biorthogonal wavelets, named Generalized Hermite Distributed Approximating Functional (g-HDAF) Wavelets. The scaling functions of this new family are symmetric and the corresponding wavelets optimize their smoothness for a given number of vanishing moments. In addition, we embed these multiresolution deformable models to the physics-based deformable model framework and use them for fitting 3D range data. We have performed a number of experiments with both synthetic and real data with very encouraging results.

• Type: Conference
• Year: 2002
• Where: BMVC
• Authors: Ioannis A. Kakadiaris, Emmanuel Papadakis, Lixin Shen, Donald Kouri, David Hoffman
• Keywords: BMVC 2002, Computer Vision, Deformable Model, Multiresolution Deformable Models, Physics-based Deformable Model