代码:https://github.com/nie-lang/DeepRectangling链接: https://arxiv.org/abs/2203.03831概览 目前图像拼接的一个问题是拼接后会产生不规则的边界,如下图1 b所示。目前解决这类问题主要是通过图像矩形化方…
Deep Rectangling for Image Stitching: A Learning Baseline 1. 任务介绍 图像矩形化是将具有不规则形状图片(如多张图拼接而成的全景图像)变成一张矩形图片的方法。如果是找到一个最大的内接矩形进行裁剪,会损失较多的信息;图像补全填充的内容是基于预测的,其并不可靠,在一些对安全性要求较高的场景中(如无人车多...
代码:https://github.com/nie-lang/DeepRectangling 链接:https://arxiv.org/abs/2203.03831 概览 目前图像拼接的一个问题是拼接后会产生不规则的边界,如下图1 b所示。目前解决这类问题主要是通过图像矩形化方法,并且通常是分为两个阶段,第一阶段搜索初始网格,第二阶段优化网格来完成网格变形,然后 warp 输入的拼...
@article{nie2022deep, title={Deep Rectangling for Image Stitching: A Learning Baseline}, author={Lang Nie and Chunyu Lin and Kang Liao and Shuaicheng Liu and Yao Zhao}, journal={arXiv preprint arXiv:2203.03831}, year={2022}, } Reference ...
[4] L. Nie, C. Lin, K. Liao, S. Liu, and Y. Zhao. Deep rectangling for image stitching: a learning baseline[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2022: 5740-5748. Releases No releases published ...
@inproceedings{nie2022deep, title={Deep Rectangling for Image Stitching: A Learning Baseline}, author={Nie, Lang and Lin, Chunyu and Liao, Kang and Liu, Shuaicheng and Zhao, Yao}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={5740--57...
IEEE Transactions on Image Processing, 2021, 30: 6184-6197. [4] L. Nie, C. Lin, K. Liao, S. Liu, and Y. Zhao. Deep rectangling for image stitching: a learning baseline[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2022: 5740-5748....