Intrinsic Scene Properties from a Single RGB-D Image

@article{Barron2013IntrinsicSP,
  title={Intrinsic Scene Properties from a Single RGB-D Image},
  author={Jonathan T. Barron and Jitendra Malik},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={17-24}
}
In this paper, we present a technique for recovering a model of shape, illumination, reflectance, and shading from a single image taken from an RGB-D sensor. To do this, we extend the SIRFS (“shape, illumination and reflectance from shading”) model, which recovers intrinsic scene properties from a single image [1] . Though SIRFS works well on neatly segmented images of objects, it performs poorly on images of natural scenes which often contain occlusion and spatially-varying illumination. We… CONTINUE READING
Highly Influential
This paper has highly influenced 22 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 177 citations. REVIEW CITATIONS
104 Citations
32 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 104 extracted citations

177 Citations

02040'13'14'15'16'17'18
Citations per Year
Semantic Scholar estimates that this publication has 177 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 32 references

Similar Papers

Loading similar papers…