Registration and occlusion detection in motion blur

We address the problem of automatically detecting occluded regions given a blurred/unblurred image pair of a scene taken from different viewpoints. The occlusion can be due to single or multiple objects. We present a unified framework for detecting occluder(s) that is reasonably robust to non-uniform motion blur as well as variations in camera pose (without the need for deblurring). We assume that the occluded pixels occupy only a relatively small area and that the camera motion trajectory is sparse in the camera motion space. We validate the performance of our algorithm with experiments on synthetic and real data.