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Data
We acquire 100 light fields using the Lytro light field camera. For each light field, we provide: (a) Raw light field data, (b) A rough focal stack (c) An all-focus image deriving from focal stack (d) The ground truth corresponding to all-focus image. To get a valid ground-truth, we ask three individuals to manually segment the saliency regions from the all-focus image. The result are deemed ground truth only when all three results are consistent (i.e., they have an overlap of over 90%).
Publications
[1] Nianyi Li, Jinwei Ye, Yu Ji, Haibin Ling, Jingyi Yu. Saliency Detection on Light Field. CVPR 2014. [pdf] [Bibtex]
[2] Nianyi Li, Bilin Sun, Jingyi Yu. A Weighted Sparse Coding Framework for Saliency Detection. CVPR 2015. [pdf] [Bibtex]
Results
For each example below, we show results by our model and
the ground-truth on:
Downloads
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LFSD (100 images) |
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Code & Results |
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