Orientational Pyramid Matching for Recognizing Indoor Scenes

@article{Xie2014OrientationalPM,
  title={Orientational Pyramid Matching for Recognizing Indoor Scenes},
  author={Lingxi Xie and Jingdong Wang and Baining Guo and Bo Zhang and Qi Tian},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2014},
  pages={3734-3741}
}
Scene recognition is a basic task towards image understanding. Spatial Pyramid Matching (SPM) has been shown to be an efficient solution for spatial context modeling. In this paper, we introduce an alternative approach, Orientational Pyramid Matching (OPM), for orientational context modeling. Our approach is motivated by the observation that the 3D orientations of objects are a crucial factor to discriminate indoor scenes. The novelty lies in that OPM uses the 3D orientations to form the… CONTINUE READING
Highly Cited
This paper has 58 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 32 extracted citations

59 Citations

010203020142015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 59 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 49 references

BoF meets HOG: Feature Extraction based on Histograms of Oriented pdf Gradients for Image Classification

  • T. Kobayashi
  • Computer Vision and Pattern Recognition,
  • 2013

Similar Papers

Loading similar papers…