Corpus ID: 232404462

Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection

@article{Ye2021MotionBL,
  title={Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection},
  author={Nianjin Ye and Chuan Wang and Haoqiang Fan and Shuaicheng Liu},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.15346}
}
In this paper, we introduce a new framework for unsupervised deep homography estimation. Our contributions are 3 folds. First, unlike previous methods that regress 4 offsets for a homography, we propose a homography flow representation, which can be estimated by a weighted sum of 8 pre-defined homography flow bases. Second, considering a homography contains 8 Degree-of-Freedoms (DOFs) that is much less than the rank of the network features, we propose a Low Rank Representation (LRR) block that… Expand

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