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Type: Conference paper
Title: Seam-driven image stitching
Author: Gao, J.
Li, Y.
Chin, T.J.
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
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
RMID: 0020137418
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Appears in Collections:Computer Science publications

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