RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images

This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of image domain transforma