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dc.contributor.authorNiu, Y.-
dc.contributor.authorDick, A.-
dc.contributor.authorBrooks, M.-
dc.identifier.citationIEEE Transactions on Circuits and Systems for Video Technology, 2014; 24(1):63-73-
dc.description.abstractThis paper proposes a new image signature, called Compass Rose, which is particularly suited to optical flow computation. It is differentiable, fast to compute, and robust to additive illumination changes, translation, and fast rotation. We design a sparse flow computation system based on the invariance of the Compass Rose signatures. This is then extended to dense motion estimation by the addition of an optional diffusion step. Quantitative testing on several benchmark sequences shows the Compass Rose attains higher accuracy than the traditional flow signatures under a range of conditions. Finally, we demonstrate its application to human motion estimation, which is challenging for optical flow methods due to fast limb rotation.-
dc.description.statementofresponsibilityYan Niu, Anthony Dick, and Michael Brooks-
dc.rights© 2013 IEEE-
dc.subjectData constraint; image signature; motion estimation; optical flow; rotational robustness.-
dc.titleCompass rose: A rotational robust signature for optical flow computation-
dc.typeJournal article-
dc.identifier.orcidDick, A. [0000-0001-9049-7345]-
Appears in Collections:Aurora harvest 7
Electrical and Electronic Engineering publications

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