Viewpoint invariant reconstruction of visible surfaces using first-order regularisation

Abstract

The application of a first-order regularisation technique to the problem of reconstruction of visible surfaces is described. The approach is a computationally efficient first-order method that achieves approximate invariance. The results indicate that the proposed method for surface reconstruction performs well on sparse noisy range data.