  In multiview geometry when correspondences among multiple views are unknown
the image points can be understood as being unlabeled. This is a common problem
in computer vision. We give a novel approach to handle such a situation by
regarding unlabeled point configurations as points on the Chow variety
$\text{Sym}_m(\mathbb{P}^2)$. For two unlabeled points we design an algorithm
that solves the triangulation problem with unknown correspondences. Further the
unlabeled multiview variety $\text{Sym}_m(V_A)$ is studied.
