Corpus ID: 218502424

Expanding Sparse Guidance for Stereo Matching

@article{Huang2020ExpandingSG,
  title={Expanding Sparse Guidance for Stereo Matching},
  author={Yu-Kai Huang and Yueh-Cheng Liu and Tsunghan Wu and Hung-Ting Su and W. Hsu},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.02123}
}
  • Yu-Kai Huang, Yueh-Cheng Liu, +2 authors W. Hsu
  • Published 2020
  • Computer Science, Mathematics
  • ArXiv
  • The performance of image based stereo estimation suffers from lighting variations, repetitive patterns and homogeneous appearance. Moreover, to achieve good performance, stereo supervision requires sufficient densely-labeled data, which are hard to obtain. In this work, we leverage small amount of data with very sparse but accurate disparity cues from LiDAR to bridge the gap. We propose a novel sparsity expansion technique to expand the sparse cues concerning RGB images for local feature… CONTINUE READING

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