@inproceedings{bad3598e53664ce0a8b359ca39250fbf,
title = "SEAGULL: Seam-guided local alignment for parallax-tolerant image stitching",
abstract = "Image stitching with large parallax is a challenging problem. Global alignment usually introduces noticeable artifacts. A common strategy is to perform partial alignment to facilitate the search for a good seam for stitching. Different from existing approaches where the seam estimation process is performed sequentially after alignment, we explicitly use the estimated seam to guide the process of optimizing local alignment so that the seam quality gets improved over each iteration. Furthermore, a novel structure-preserving warping method is introduced to preserve salient curve and line structures during the warping. These measures substantially improve the effectiveness of our method in dealing with a wide range of challenging images with large parallax.",
author = "Kaimo Lin and Nianjuan Jiang and Cheong, {Loong Fah} and Minh Do and Jiangbo Lu",
note = "Funding Information: This work was supported by the Singapore PSF grant 1321202075 and the HCCS research grant at the ADSC from Singapore{\textquoteright}s Agency for Science, Technology and Research (A*STAR) (This work was partly done when Kaimo was interning in ADSC.). Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 14th European Conference on Computer Vision, ECCV 2016 ; Conference date: 11-10-2016 Through 14-10-2016",
year = "2016",
doi = "10.1007/978-3-319-46487-9_23",
language = "English (US)",
isbn = "9783319464862",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "370--385",
editor = "Bastian Leibe and Jiri Matas and Nicu Sebe and Max Welling",
booktitle = "Computer Vision - 14th European Conference, ECCV 2016, Proceedings",
address = "Germany",
}