Saliency Detection via Dense and Sparse Reconstruction

@article{Li2013SaliencyDV,
  title={Saliency Detection via Dense and Sparse Reconstruction},
  author={Xiaohui Li and Huchuan Lu and Lihe Zhang and Xiang Ruan and Ming-Hsuan Yang},
  journal={2013 IEEE International Conference on Computer Vision},
  year={2013},
  pages={2976-2983}
}
In this paper, we propose a visual saliency detection algorithm from the perspective of reconstruction errors. The image boundaries are first extracted via super pixels as likely cues for background templates, from which dense and sparse appearance models are constructed. For each image region, we first compute dense and sparse reconstruction errors. Second… CONTINUE READING

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