Seam-Driven Image Stitching
| dc.contributor.author | Gao, Junhong | en_US |
| dc.contributor.author | Li, Yu | en_US |
| dc.contributor.author | Chin, Tat-Jun | en_US |
| dc.contributor.author | Brown, Michael S. | en_US |
| dc.contributor.editor | M.- A. Otaduy and O. Sorkine | en_US |
| dc.date.accessioned | 2014-01-26T14:58:17Z | |
| dc.date.available | 2014-01-26T14:58:17Z | |
| dc.date.issued | 2013 | en_US |
| 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_US |
| dc.description.seriesinformation | Eurographics 2013 - Short Papers | en_US |
| dc.identifier.issn | 1017-4656 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/conf/EG2013/short/045-048 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Seam-Driven Image Stitching | en_US |