Parallax-Tolerant Image Stitching with Epipolar Displacement Field
Not on the map. Why?
Abstract (arXiv)
Image stitching with parallax is still a challenging task. Existing methods often struggle to maintain both the local and global structures of the image while reducing alignment artifacts and warping distortions. In this paper, we propose a novel approach that utilizes epipolar geometry to establish a warping technique based on the epipolar displacement field. Initially, the warping rule for pixels in the epipolar geometry is established through the infinite homography. Subsequently, the epipolar displacement field, which represents the sliding distance of the warped pixel along the epipolar line, is formulated by thin-plate splines based on the principle of local elastic deformation. The stitching result can be generated by inversely warping the pixels according to the epipolar displacement field. This method incorporates the epipolar constraints in the warping rule, which ensures high-quality alignment and maintains the projectivity of the panorama. Qualitative and quantitative comparative experiments demonstrate the competitiveness of the proposed method for stitching images with large parallax.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 14 of its 39 references that are in the map. First posted on arXiv 28 Nov 2023.
Builds on
14 of 39 references.
References · 14
- 2016Deep Image Homography Estimationcited by 135
- 2017Unsupervised Deep Homography: A Fast and Robust Homography Estimation Modelcited by 75
- 2021Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Imagescited by 49
- 2022Iterative Deep Homography Estimationcited by 45
- 2023Parallax-Tolerant Unsupervised Deep Image Stitchingcited by 30
- 2021Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projectioncited by 28
- 2021LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimationcited by 28
- 2021Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlationcited by 28
- 2018Single-Perspective Warps in Natural Image Stitchingcited by 27
- 2022Weakly-Supervised Stitching Network for Real-World Panoramic Image Generationcited by 11
- 2022Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraintcited by 10
- 2020Image Stitching Based on Planar Region Consensuscited by 7
2 more
Built on by
Citing papers per year: 2024: 1.
1 paper.