Dense and Sparse Reconstruction Error Based Saliency Descriptor
Clicks: 104
ID: 270463
2016
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Abstract
In this paper, we propose a visual saliency detection algorithm from the perspective of reconstruction error. The image boundaries are first extracted via superpixels as likely cues for background templates, from which dense and sparse appearance models are constructed. First, we compute dense and s …
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| Reference Key |
h2016ieeedense
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|---|---|
| Authors | Lu H;Li X;Zhang L;Ruan X;Yang MH;; |
| Journal | ieee transactions on image processing : a publication of the ieee signal processing society |
| Year | 2016 |
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