Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow

@article{Yang2021ProgressivelyCN,
  title={Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow},
  author={Shangrong Yang and Chunyu Lin and Kang Liao and Chunjie Zhang and Yao Zhao},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2021},
  pages={6344-6353}
}
  • Shangrong Yang, Chunyu Lin, +2 authors Yao Zhao
  • Published 30 March 2021
  • Computer Science
  • 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Distortion rectification is often required for fisheye images. The generation-based method is one mainstream solution due to its label-free property, but its naive skip-connection and overburdened decoder will cause blur and incomplete correction. First, the skip-connection directly transfers the image features, which may introduce distortion and cause incomplete correction. Second, the decoder is overburdened during simultaneously reconstructing the content and structure of the image… Expand
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