  The Gauss-Minkowski correspondence in $\mathbb{R}^2$ states the existence of
a homeomorphism between the probability measures $\mu$ on $[0,2\pi]$ such that
$\int_0^{2\pi} e^{ix}d\mu(x)=0$ and the compact convex sets (CCS) of the plane
with perimeter~1. In this article, we bring out explicit formulas relating the
border of a CCS to its probability measure. As a consequence, we show that some
natural operations on CCS -- for example, the Minkowski sum -- have natural
translations in terms of probability measure operations, and reciprocally, the
convolution of measures translates into a new notion of convolution of CCS.
Additionally, we give a proof that a polygonal curve associated with a sample
of $n$ random variables (satisfying $\int_0^{2\pi} e^{ix}d\mu(x)=0$) converges
to a CCS associated with $\mu$ at speed $\sqrt{n}$, a result much similar to
the convergence of the empirical process in statistics. Finally, we employ this
correspondence to present models of smooth random CCS and simulations.
