Multi-Resolution Shared Representative Filtering for Real-Time Depth Completion

dc.contributor.authorWu, Yu-Tingen_US
dc.contributor.authorLi, Tzu-Maoen_US
dc.contributor.authorShen, I-Chaoen_US
dc.contributor.authorLin, Hong-Shiangen_US
dc.contributor.authorChuang, Yung-Yuen_US
dc.contributor.editorBinder, Nikolaus and Ritschel, Tobiasen_US
dc.date.accessioned2021-07-05T07:47:19Z
dc.date.available2021-07-05T07:47:19Z
dc.date.issued2021
dc.description.abstractWe present shared representative filtering for real-time high-resolution depth completion with RGB-D sensors. Conventional filtering-based methods face a dilemma when the missing regions of the depth map are large. When the filter window is small, the filter fails to include enough samples. On the other hand, when the window is large, the method could oversmooth depth boundaries due to the error introduced by the extra samples. Our method adapts the filter kernels to the shape of the missing regions to collect a sufficient number of samples while avoiding oversmoothing. We collect depth samples by searching for a small set of similar pixels, which we call the representatives, using an efficient line search algorithm. We then combine the representatives using a joint bilateral weight. Experiments show that our method can filter a high-resolution depth map within a few milliseconds while outperforming previous filtering-based methods on both real-world and synthetic data in terms of both efficiency and accuracy, especially when dealing with large missing regions in depth maps.en_US
dc.description.sectionheadersHigh-Performance Rendering
dc.description.seriesinformationHigh-Performance Graphics - Symposium Papers
dc.identifier.doi10.2312/hpg.20211280
dc.identifier.isbn978-3-03868-156-4
dc.identifier.issn2079-8687
dc.identifier.pages11-21
dc.identifier.urihttps://doi.org/10.2312/hpg.20211280
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/hpg20211280
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectComputational photography
dc.subjectImage processing
dc.titleMulti-Resolution Shared Representative Filtering for Real-Time Depth Completionen_US
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