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https://hdl.handle.net/2440/83952
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gao, J. | en |
dc.contributor.author | Li, Y. | en |
dc.contributor.author | Chin, T. | en |
dc.contributor.author | Brown, M. | en |
dc.date.issued | 2013 | en |
dc.identifier.citation | Proceedings of Eurographics 2013, the 34th Annual Conference of the European Association for Computer Graphics: pp.1-4 | en |
dc.identifier.uri | http://hdl.handle.net/2440/83952 | - |
dc.description.abstract | Image stitching computes geometric transforms to align images based on the best fit of feature correspondences between overlapping images. Seam-cutting is used afterwards to to hide misalignment artifacts. Interestingly it is often the seam-cutting step that is the most crucial for obtaining a perceptually seamless result. This motivates us to propose a seam-driven image stitching strategy where instead of estimating a geometric transform based on the best fit of feature correspondences, we evaluate the goodness of a transform based on the resulting visual quality of the seam-cut. We show that this new image stitching strategy can often produce better perceptual results than existing methods especially for challenging scenes. | en |
dc.description.statementofresponsibility | Junhong Gao, Yu Li, Tat-Jun Chin, Michael S. Brown | en |
dc.description.uri | http://eg2013.udg.edu/ | en |
dc.language.iso | en | en |
dc.publisher | The Eurographics Association | en |
dc.rights | © The Eurographics Association 2013 | en |
dc.title | Seam-driven image stitching | en |
dc.type | Conference paper | en |
dc.contributor.conference | Annual Conference of the European Association for Computer Graphics (34th : 2013 : Girona, Spain) | en |
dc.publisher.place | CD | en |
pubs.publication-status | Published | en |
Appears in Collections: | Aurora harvest 4 Computer Science publications |
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