Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

@article{Liu2016LearningDF,
  title={Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields},
  author={Fayao Liu and Chunhua Shen and Guosheng Lin and I. Reid},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2016},
  volume={38},
  pages={2024-2039}
}
  • Fayao Liu, Chunhua Shen, +1 author I. Reid
  • Published 2016
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • In this article, we tackle the problem of depth estimation from single monocular images. Compared with depth estimation using multiple images such as stereo depth perception, depth from monocular images is much more challenging. Prior work typically focuses on exploiting geometric priors or additional sources of information, most using hand-crafted features. Recently, there is mounting evidence that features from deep convolutional neural networks (CNN) set new records for various vision… CONTINUE READING
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