• DOI:10.1109/CVPR.2015.7299152
Corpus ID: 13153

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

View on IEEE

arxiv.org

Save to Library

Create Alert

Cite

Launch Research Feed