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, MattCuffe, Paul
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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 VideoBall CameraVideo DerotationRotating 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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