Corpus ID: 209202615

Deep-Learning Assisted High-Resolution Binocular Stereo Depth Reconstruction

@article{Hu2019DeepLearningAH,
  title={Deep-Learning Assisted High-Resolution Binocular Stereo Depth Reconstruction},
  author={Y. Hu and Weikun Zhen and S. Scherer},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.05012}
}
  • Y. Hu, Weikun Zhen, S. Scherer
  • Published 2019
  • Computer Science
  • ArXiv
  • This work presents dense stereo reconstruction using high-resolution images for infrastructure inspections. The state-of-the-art stereo reconstruction methods, both learning and non-learning ones, consume too much computational resource on high-resolution data. Recent learning-based methods achieve top ranks on most benchmarks. However, they suffer from the generalization issue due to lack of task-specific training data. We propose to use a less resource demanding non-learning method, guided by… CONTINUE READING

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