  Let $\mathcal{M}$ be a compact manifold of $\mathbb{R}^d$. The goal of this
paper is to decide, based on a sample of points, whether the interior of
$\mathcal{M}$ is empty or not. We divide this work in two main parts. Firstly,
under a dependent sample which may or may not contain some noise within, we
characterize asymptotic properties of an interior detection test based on a
suitable control of the dependence. Afterwards, we drop the dependence and
consider a model where the points sampled from the manifold are mixed with some
points sampled from a different measure (noisy observations). We study the
behaviour with respect to the amount of noisy observations, introducing a
methodology to identify true manifold points, characterizing convergence
properties.
