A Learning-based Algorithm for Geometric Labeling of Indoor Images

  title={A Learning-based Algorithm for Geometric Labeling of Indoor Images},
  author={Xiaoqing Liu},
This paper aims to use a large set of feature descriptions as g eometric cues to build the structural knowledge of an indoor image. In this paper, a large quantity of tra ining images are used to obtain the required information through learning. We apply a multi-class version of Ada Boost with weak learners based on the decision tree to label regions in an indoor image as “ground”, “wall” and “cei ling”. Through labeling, we can estimate the coarse geometric properties of an indoor scene, which… CONTINUE READING
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Experiments with a new boosting algorithm

  • Y.S.R.E.F.
  • Machine Learning: Proceedings of the Thirteenth…
  • 1996
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