In this paper, we explore bilinear and elastically deformable models for addressing jointly 3-dimensional face and facial expression recognition. An elastically deformable model i...
Iordanis Mpiperis, Sotiris Malassiotis, Michael G....
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Registration of 3D surfaces is a critical step for shape analysis. Recent studies show that spectral representations based on intrinsic pairwise geodesic distances between points ...
Xiuwen Liu, Arturo Donate, Matthew Jemison, Washin...
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...
We present a closed-form solution to the problem of recovering
the 3D shape of a non-rigid potentially stretchable
surface from 3D-to-2D correspondences. In other words,
we can ...
Francesc Moreno-Noguer (Institut de Robotica i Inf...