Temporally consistent hole filling method based on global optimization with label propagation for 3D video

This paper presents a new temporally consistent hole filling method based on global optimization for a synthesized 3D vid-eo.
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For the temporal consistency, the proposed method adaptively utilizes the already filled region in a previous frame under the guidance of motion vectors to fill a hole region in a current frame (i.e., target frame to-be-filled). In addition, when filling the hole region in the target frame, reliable labels are stored and propagated to a next target frame in order to reduce the computational cost of the global optimization. Experimental results show that the proposed method can achieve the temporal consistency and a high computational gain than existing hole filling methods.