Classical sampling records the signal level at pre-determined time instances, usually uniformly spaced. An alternative implicit sampling model is to record the timing of pre-deter...
other projects in the database. Software development data is highly variable, which often result,s in underlying trends being hidden. In order to address this problem, a method of ...
We study the reconstruction of a stratified space from a possibly noisy point sample. Specifically, we use the vineyard of the distance function restricted to a 1-parameter family...
Paul Bendich, David Cohen-Steiner, Herbert Edelsbr...
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...
In this paper we address the problem of reconstructing a structurally simple surface representation from point datasets of scanned scenes as they occur for instance in city scanni...