Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/83952
Type: | Conference paper |
Title: | Seam-driven image stitching |
Author: | Gao, J. Li, Y. Chin, T. Brown, M. |
Citation: | Proceedings of Eurographics 2013, the 34th Annual Conference of the European Association for Computer Graphics: pp.1-4 |
Publisher: | The Eurographics Association |
Publisher Place: | CD |
Issue Date: | 2013 |
Conference Name: | Annual Conference of the European Association for Computer Graphics (34th : 2013 : Girona, Spain) |
Statement of Responsibility: | 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 |
Description (link): | http://eg2013.udg.edu/ |
Appears in Collections: | Aurora harvest 4 Computer Science publications |
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