Seeing the world behind the image: Spatial layout for 3D scene understanding

@inproceedings{Hoiem2007SeeingTW,
  title={Seeing the world behind the image: Spatial layout for 3D scene understanding},
  author={Derek Hoiem},
  year={2007}
}
When humans look at an image, they see not just a pattern of color and texture, but the world behind the image. In the same way, computer vision algorithms must go beyond the pixels and reason about the underlying scene. In this dissertation, we propose methods to recover the basic spatial layout from a single image and begin to investigate its use as a foundation for scene understanding. Our spatial layout is a description of the 3D scene in terms of surfaces, occlusions, camera viewpoint, and… CONTINUE READING

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  • Representations and Techniques for 3D Object Recognition and Scene Interpretation
  • 2011
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  • 2007 IEEE 11th International Conference on Computer Vision
  • 2007
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  • 2016 IEEE International Conference on Image Processing (ICIP)
  • 2016
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  • 2013 International Conference on Computer Sciences and Applications
  • 2013
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