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|Title:||Seam-driven image stitching|
|Citation:||Proceedings of Eurographics 2013, the 34th Annual Conference of the European Association for Computer Graphics: pp.1-4|
|Publisher:||The Eurographics Association|
|Conference Name:||Annual Conference of the European Association for Computer Graphics (34th : 2013 : Girona, Spain)|
|Junhong Gao, Yu Li, Tat-Jun Chin, Michael S. Brown|
|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.|
|Rights:||© The Eurographics Association 2013|
|Appears in Collections:||Computer Science publications|
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