In the deep space, targets are far away from the cameras and become dim targets with less shape and gray features in the image planes. It is an essential problem of target correspondence across multiple cameras. A novel algorithm based on geometries consisting of detected targets in multiple cameras was proposed. The algorithm firstly compensated the rotation effect of the detected targets set. Then, Delaunay triangulation was used to divide set of compensated points. Finally, triangle similarity was employed for target correspondence. According to simulation and analysis, the algorithm dealt with target correspondence across multiple cameras in deep space effectively.