We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
A rational Arnoldi method for passivity-preserving model-order reduction (MOR) with implicit multi-point moment matching for systems with frequency-dependent interconnects is desc...
Quming Zhou, Kartik Mohanram, Athanasios C. Antoul...
One of the challenges in 3D shape matching arises from the fact that in many applications, models should be considered to be the same if they differ by a rotation. Consequently, w...
Michael M. Kazhdan, Thomas A. Funkhouser, Szymon R...
Bintrees based on longest edge bisection and hierarchies of diamonds are popular multiresolution techniques on regularly sampled terrain datasets. In this work, we consider sparse...
In this paper, we introduce a compact random-access vector representation for solid textures made of intermixed regions with relatively smooth internal color variations. It is fea...