no code implementations • 7 Sep 2023 • Li Li, Qingqing Li, Guozheng Xu, Pengwei Zhou, Jingmin Tu, Jie Li, Jian Yao
We design a three-branch network to predict semantic labels, point offsets and extract deep embedding features.
no code implementations • 6 Apr 2020 • Kai Chen, Jian Yao, Jingmin Tu, Yahui Liu, Yinxuan Li, Li Li
Recently, works on improving the naturalness of stitching images gain more and more extensive attention.
no code implementations • 18 Sep 2018 • Kai Chen, Jingmin Tu, Jian Yao
Content-Preserving Warping (CPW) is a typical method to deal with this issue, in which geometric and photometric constraints are imposed to guide the warping process.
no code implementations • 18 Sep 2018 • Kai Chen, Jingmin Tu, Binbin Xiang, Li Li, Jian Yao
In this paper, geometric and photometric constraints are combined to improve the alignment quality, which is based on the observation that these two kinds of constraints are complementary.