We address the problem of fitting 3D human models to 3D scans of dressed humans.
Classical methods optimize both the data-to-model correspondences and the human model …

Mesh parameterization is a powerful geometry processing tool with numerous computer
graphics applications, from texture map** to animation transfer. This course outlines its …

The goal of our work is to develop an efficient, automatic algorithm for discovering point
correspondences between surfaces that are approximately and/or partially isometric. Our …

This paper describes a numerical method for surface parameterization, yielding maps that
are locally injective and discretely conformal in an exact sense. Unlike previous methods for …

This work introduces a unified framework for discrete surface Ricci flow algorithms, including
spherical, Euclidean, and hyperbolic Ricci flows, which can design Riemannian metrics on …

We introduce a novel method for the construction of discrete conformal map**s from
surface meshes of arbitrary topology to the plane. Our approach is based on circle patterns …

The recent introduction of 3D shape analysis frameworks able to quantify the deformation of
a shape into another in terms of the variation of real functions yields a new interpretation of …

We introduce a framework for quadrangle meshing of discrete manifolds. Based on discrete
differential forms, our method hinges on extending the discrete Laplacian operator (used …

Scalar functions defined on manifold triangle meshes is a starting point for many geometry
processing algorithms such as mesh parametrization, skeletonization, and segmentation. In …

Computational anatomy methods are now widely used in clinical neuroimaging to map the
profile of disease effects on the brain and its clinical correlates. In Alzheimer's disease (AD) …