RGBD Co-saliency Detection via Bagging-Based Clustering

@article{Song2016RGBDCD,
  title={RGBD Co-saliency Detection via Bagging-Based Clustering},
  author={Hangke Song and Zhi Liu and Yufeng Xie and Lishan Wu and Mengke Huang},
  journal={IEEE Signal Processing Letters},
  year={2016},
  volume={23},
  pages={1722-1726}
}
With the additional depth information, RGBD co-saliency detection, which is an emerging and interesting issue in saliency detection, aims to discover the common salient objects in a set of RGBD images. This letter proposes a novel RGBD co-saliency model using bagging-based clustering. First, candidate object regions are generated based on RGBD single… CONTINUE READING

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