Geometric reconstruction from point-normal data


Creating virtual models of real spaces and objects is cumber-
some and time consuming. This paper focuses on the prob-
lem of geometric reconstruction from sparse data obtained
from certain image-based modeling approaches. A number of
elegant and simple-to-state problems arise concerning when
the geometry can be reconstructed. We describe results and
counterexamples, and list open problems.