Seam-Driven Image Stitching
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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
@inproceedings{:10.2312/conf/EG2013/short/045-048,
booktitle = {Eurographics 2013 - Short Papers},
editor = {M.- A. Otaduy and O. Sorkine},
title = {{Seam-Driven Image Stitching}},
author = {Gao, Junhong and Li, Yu and Chin, Tat-Jun and Brown, Michael S.},
year = {2013},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {},
DOI = {/10.2312/conf/EG2013/short/045-048}
}