Video Completion for Perspective Camera Under Constrained Motion

This paper presents a novel technique to fill in missing background and moving foreground of a video captured by a static or moving camera. Different from previous efforts which are typically based on processing in the 3D data volume, we slice the volume along the motion manifold of the moving object, and therefore reduce the search space from 3D to 2D, while still preserve the spatial and temporal coherence. In addition to the computational efficiency, based on geometric video analysis, the proposed approach is also able to handle real videos under perspective distortion, as well as common camera motions, such as panning, tilting, and zooming. The experimental results demonstrate that our algorithm performs comparably to 3D search based methods, and however extends the current state-of-the-art repairing techniques to videos with projective effects, as well as illumination changes