Segmentation Driven Low-rank Matrix Recovery for Saliency Detection

@inproceedings{Zou2013SegmentationDL,
  title={Segmentation Driven Low-rank Matrix Recovery for Saliency Detection},
  author={Wenbin Zou and Kidiyo Kpalma and Zhi Liu and Joseph Ronsin},
  booktitle={BMVC},
  year={2013}
}
Low-rank matrix recovery (LRMR) model, aiming at decomposing a matrix into a low-rank matrix and a sparse one, has shown the potential to address the problem of saliency detection, where the decomposed low-rank matrix naturally corresponds to the background, and the sparse one captures salient objects. This is under the assumption that the background is consistent and objects are obviously distinctive. Unfortunately, in real images, the background may be cluttered and may have low contrast with… CONTINUE READING

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