Removing Spinning Motion from Spherical Video Using a Rotationally Invariant Feature Extractor

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dc.contributor.authorSlevin, Matt-
dc.contributor.authorCuffe, Paul-
dc.descriptionIECON 2019, 45th Annual Conference of the IEEE Industrial Electronics Society (IES), Lisbon, Portugal, October 14-17 2019en_US
dc.description.abstractThis paper presents a method for removing rotational motion from an omnidirectional video captured from the viewpoint of a spinning object. For instance, the technique could be used to recover stable footage from spherical video captured from within a football used for competitive sports. The methodology uses a rotationally-invariant algorithm to obtain feature points and descriptors for pairs of successive frames. This information is then abstracted into three-dimensional point clouds, from which the Kabsch algorithm can infer the rotational motion between frames. The resulting rotational matrices are used to remap each equirectangular frame to a reference frame, and thereby offset the effect of frame-to-frame camera rotations. The algorithm has been successfully tested with various styles of footage. Additionally, the codebase implementing our algorithm has been freely shared through an open online repository.en_US
dc.subjectOmnidirectional Videoen_US
dc.subjectBall Cameraen_US
dc.subjectVideo Derotationen_US
dc.subjectRotating Equirectangular Imageen_US
dc.titleRemoving Spinning Motion from Spherical Video Using a Rotationally Invariant Feature Extractoren_US
dc.typeConference Publicationen_US
dc.statusPeer revieweden_US
dc.description.adminEmbargo until conference concludes - ACen_US
dc.description.adminCheck for published version during checkdate report - ACen_US
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Appears in Collections:Electrical and Electronic Engineering Research Collection
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