Selective Hole-Filling For Depth-Image Based Rendering

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)(2015)

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摘要
One of the biggest challenges in view interpolation is to fill the regions without projective information in the synthesized view. In this paper, we present a new approach that identifies and corrects different types of missing information. In the first stage, we propose a fast solution to tackle the problems of cracks and ghost, common artifacts in the view interpolation process. Then, we complete larger holes by exploring the disparity map as an additional cue to select the best patch in a patch-based inpainting procedure. Our experimental results indicate that we were able to outperform current state of the art hole filling techniques for view interpolation.
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关键词
View interpolation,hole filling,DIBR,view synthesis,inpainting
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