Removing Spinning Motion from Spherical Video Using a Rotationally Invariant Feature Extractor
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|Title:||Removing Spinning Motion from Spherical Video Using a Rotationally Invariant Feature Extractor||Authors:||Slevin, Matt; Cuffe, Paul||Permanent link:||http://hdl.handle.net/10197/10985||Date:||17-Oct-2019||Online since:||2019-08-13T07:12:01Z||Abstract:||This 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.||Type of material:||Conference Publication||Publisher:||IEEE||Keywords:||Omnidirectional Video; Ball Camera; Video Derotation; Rotating Equirectangular Image||Language:||en||Status of Item:||Peer reviewed||Conference Details:||IECON 2019, 45th Annual Conference of the IEEE Industrial Electronics Society (IES), Lisbon, Portugal, October 14-17 2019|
|Appears in Collections:||Electrical and Electronic Engineering Research Collection|
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