Splicing localization in motion blurred 3D scenes

We propose a passive forgery detection technique for locating spliced regions in motion blurred images of 3D scenes. We consider general camera motion in hand-held cameras and utilize discrepancies in local motion blur patterns as a cue for splicing detection. We first devise an automatic and computationally efficient scheme to estimate the camera motion using only the blur kernels from authentic region. Next, we utilize the relationship among blur kernels, camera trajectory and local depth to predict a set of authentic blur kernels for any depth map to directly flag spliced regions.