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Depth Estimation and Intermediate View Synthesis for Three-dimensional Video Generation  

Lee, Sang-Beom (광주과학기술원 정보통신공학과)
Lee, Cheon (광주과학기술원 정보통신공학과)
Ho, Yo-Sung (광주과학기술원 정보통신공학과)
Abstract
In this paper, we propose new depth estimation and intermediate view synthesis algorithms for three-dimensional video generation. In order to improve temporal consistency of the depth map sequence, we add a temporal weighting function to the conventional matching function when we compute the matching cost for estimating the depth information. In addition, we propose a boundary noise removal method in the view synthesis operation. after finding boundary noise areas using the depth map, we replace them with corresponding texture information from the other reference image. Experimental results showed that the proposed algorithm improved temporal consistency of the depth sequence and reduced flickering artifacts in the virtual view. It also improved visual quality of the synthesized virtual views by removing the boundary noise.
Keywords
Multi-View Video; Depth Map; View Synthesis; Temporal Consistency; Boundary Noise;
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