Deep convolutional neural fields for depth estimation from a single image

@article{Liu2015DeepCN,
  title={Deep convolutional neural fields for depth estimation from a single image},
  author={Fayao Liu and Chunhua Shen and Guosheng Lin},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={5162-5170}
}
  • Fayao Liu, Chunhua Shen, Guosheng Lin
  • Published 2015
  • Computer Science
  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • We consider the problem of depth estimation from a single monocular image in this work. It is a challenging task as no reliable depth cues are available, e.g., stereo correspondences, motions etc. Previous efforts have been focusing on exploiting geometric priors or additional sources of information, with all using hand-crafted features. Recently, there is mounting evidence that features from deep convolutional neural networks (CNN) are setting new records for various vision applications. On… CONTINUE READING
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