Supervised Learning of Edges and Object Boundaries

@article{Dollr2006SupervisedLO,
  title={Supervised Learning of Edges and Object Boundaries},
  author={Piotr Doll{\'a}r and Zhuowen Tu and Serge J. Belongie},
  journal={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
  year={2006},
  volume={2},
  pages={1964-1971}
}
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made purely based on low level cues such as gradient, instead we need to engage all levels of information, low, middle, and high, in order to decide where to put edges. In this paper we propose a novel supervised learning algorithm for edge and object boundary detection which we refer to as Boosted Edge Learning or BEL for… CONTINUE READING
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