IEEE Trans Image Process - Fast edge-preserving PatchMatch for large displacement optical flow.

Tópicos

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Resumo

The speed of optical flow algorithm is crucial for many video editing tasks such as slow motion synthesis, selection propagation, tone adjustment propagation, and so on. Variational coarse-to-fine optical flow algorithms can generally produce high-quality results but cannot fulfil the speed requirement of many practical applications. Besides, large motions in real-world videos also pose a difficult problem to coarse-to-fine variational approaches. We, in this paper, present a fast optical flow algorithm that can handle large displacement motions. Our algorithm is inspired by recent successes of local methods in visual correspondence searching as well as approximate nearest neighbor field algorithms. The main novelty is a fast randomized edge-preserving approximate nearest neighbor field algorithm, which propagates self-similarity patterns in addition to offsets. Experimental results on public optical flow benchmarks show that our method is significantly faster than state-of-the-art methods without compromising on quality, especially when scenes contain large motions. Finally, we show some demo applications by applying our technique into real-world video editing tasks.

Resumo Limpo

speed optic flow algorithm crucial mani video edit task slow motion synthesi select propag tone adjust propag variat coarsetofin optic flow algorithm can general produc highqual result fulfil speed requir mani practic applic besid larg motion realworld video also pose difficult problem coarsetofin variat approach paper present fast optic flow algorithm can handl larg displac motion algorithm inspir recent success local method visual correspond search well approxim nearest neighbor field algorithm main novelti fast random edgepreserv approxim nearest neighbor field algorithm propag selfsimilar pattern addit offset experiment result public optic flow benchmark show method signific faster stateoftheart method without compromis qualiti especi scene contain larg motion final show demo applic appli techniqu realworld video edit task

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