A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method

@inproceedings{Ren2016ACI,
  title={A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method},
  author={Yuzhuo Ren and Chen Chen and Shangwen Li and C.-C. Jay Kuo},
  booktitle={ACCV},
  year={2016}
}
The task of estimating the spatial layout of cluttered indoor scenes from a single RGB image is addressed in this work. Existing solutions to this problems largely rely on hand-craft features and vanishing lines, and they often fail in highly cluttered indoor rooms. The proposed coarse-to-fine indoor layout estimation (CFILE) method consists of two stages: 1) coarse layout estimation; and 2) fine layout localization. In the first stage, we adopt a fully convolutional neural network (FCN) to… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 21 CITATIONS

Indoor Scene Layout Estimation from a Single Image

  • 2018 24th International Conference on Pattern Recognition (ICPR)
  • 2018
VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment

  • IEEE transactions on cybernetics
  • 2019
VIEW 11 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Learning to Predict High-Quality Edge Maps for Room Layout Estimation

  • IEEE Transactions on Multimedia
  • 2017
VIEW 5 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation

Hao Zhao, Ming Lu, +3 authors Li Zhang
  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2017
VIEW 6 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

References

Publications referenced by this paper.
SHOWING 1-10 OF 33 REFERENCES

Learning Informative Edge Maps for Indoor Scene Layout Prediction

  • 2015 IEEE International Conference on Computer Vision (ICCV)
  • 2015
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Recovering the spatial layout of cluttered rooms

  • 2009 IEEE 12th International Conference on Computer Vision
  • 2009
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

Contour Detection and Hierarchical Image Segmentation

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2011
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 3 EXCERPTS

Instance-Aware Semantic Segmentation via Multi-task Network Cascades

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 3 EXCERPTS

Similar Papers

Loading similar papers…