Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/108658
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLiu, W.-
dc.contributor.authorChin, T.-
dc.date.issued2015-
dc.identifier.citationProceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015, pp.1-8-
dc.identifier.isbn9781467367950-
dc.identifier.urihttp://hdl.handle.net/2440/108658-
dc.description.abstractConceptually, video stabilization is achieved by estimating the camera trajectory throughout the video and then smoothing the trajectory. In practice, the pipeline invariably leads to estimating update transforms that adjust each frame of the video such that the overall sequence appears to be stabilized. Therefore, we argue that estimating good update transforms is more critical to success than accurately modeling and characterizing the motion of the camera. Based on this observation, we propose the usage of homography fields for video stabilization. A homography field is a spatially varying warp that is regularized to be as projective as possible, so as to enable accurate warping while adhering closely to the underlying geometric constraints. We show that homography fields are powerful enough to meet the various warping needs of video stabilization, not just in the core step of stabilization, but also in video inpainting. This enables relatively simple algorithms to be used for motion modeling and smoothing. We demonstrate the merits of our video stabilization pipeline on various public testing videos.-
dc.description.statementofresponsibilityWilliam X. Liu, Tat-Jun Chin-
dc.language.isoen-
dc.publisherIEEE-
dc.rights© 2015 IEEE-
dc.subjectTransforms, smoothing methods, trajectory-
dc.titleSmooth Globally Warp Locally: Video Stabilization using Homography Fields-
dc.typeConference paper-
dc.contributor.conference2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015) (23 Nov 2015 - 25 Nov 2015 : Adelaide, Australia)-
dc.identifier.doi10.1109/DICTA.2015.7371309-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 8
Computer Science publications

Files in This Item:
File Description SizeFormat 
RA_hdl_108658.pdf
  Restricted Access
Restricted Access1.72 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.