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- W3034208730 abstract "This paper proposes a practical two-stage method to enhance the depth channel of low-quality RGB-D videos. At the first stage of the proposed method, we select several key frames from an input RGB-D video and recover them with a new MRF-regularized low-rank matrix completion method. At the second stage, we introduce a novel Laplacian smoothing algorithm to smoothly expand the recovered key depth frames to other in-between frames. With associated weights extracted from color images and a depth confidence constraint, we are able to recover each in-between frame faithfully and guarantee long-range temporal consistency. Experiments show that our method can generate high-quality and spatiotemporally coherent RGB-D videos for a wide range of scene configurations and achieve the state-of-the-art performance. Several applications further validate the effectiveness of the proposed method." @default.
- W3034208730 created "2020-06-19" @default.
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- W3034208730 date "2020-07-01" @default.
- W3034208730 modified "2023-10-16" @default.
- W3034208730 title "Two-Stage Depth Video Recovery with Spatiotemporal Coherence" @default.
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- W3034208730 doi "https://doi.org/10.1109/icme46284.2020.9102844" @default.
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