@inproceedings{fe57024f6b8b48f0a17e91de9e39647f,
title = "Line-point feature based structure-preserving image stitching",
abstract = "The naturalness of the panoramic image is an important criterion for evaluating the result of image stitching. When the overlapping region of the image has a low-texture area, the alignment is hard to accomplish due to incorrect and inadequate feature point matching pairs, and the salient structures are easily destroyed due to the unreasonable position of the optimal seam. To solve the problem, we use line segment matching information to assist the alignment of low-texture regions and use superpixel segmentation regions to filter the unreliable point correspondences. An improved seam-finding algorithm is finally used to blend images together. The experimental results demonstrate that the proposed method can get more natural stitching results.",
keywords = "low-texture, optimal seam, salient structures, seam-cutting, superpixel regions",
author = "Longyun Chi and Xujun Guan and Xiaorong Shen and Hai Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Chinese Automation Congress, CAC 2019 ; Conference date: 22-11-2019 Through 24-11-2019",
year = "2019",
month = nov,
doi = "10.1109/CAC48633.2019.8996170",
language = "英语",
series = "Proceedings - 2019 Chinese Automation Congress, CAC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2111--2116",
booktitle = "Proceedings - 2019 Chinese Automation Congress, CAC 2019",
address = "美国",
}