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Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2011.5995314
DC FieldValue
dc.titleSmoothly varying affine stitching
dc.contributor.authorLin, W.-Y.
dc.contributor.authorLiu, S.
dc.contributor.authorMatsushita, Y.
dc.contributor.authorNg, T.-T.
dc.contributor.authorCheong, L.-F.
dc.date.accessioned2014-06-19T03:28:02Z
dc.date.available2014-06-19T03:28:02Z
dc.date.issued2011
dc.identifier.citationLin, W.-Y., Liu, S., Matsushita, Y., Ng, T.-T., Cheong, L.-F. (2011). Smoothly varying affine stitching. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 345-352. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2011.5995314
dc.identifier.isbn9781457703942
dc.identifier.issn10636919
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71805
dc.description.abstractTraditional image stitching using parametric transforms such as homography, only produces perceptually correct composites for planar scenes or parallax free camera motion between source frames. This limits mosaicing to source images taken from the same physical location. In this paper, we introduce a smoothly varying affine stitching field which is flexible enough to handle parallax while retaining the good extrapolation and occlusion handling properties of parametric transforms. Our algorithm which jointly estimates both the stitching field and correspondence, permits the stitching of general motion source images, provided the scenes do not contain abrupt protrusions. © 2011 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CVPR.2011.5995314
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CVPR.2011.5995314
dc.description.sourcetitleProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.description.page345-352
dc.description.codenPIVRE
dc.identifier.isiutNOT_IN_WOS
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