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authorAdam Harvey <adam@ahprojects.com>2019-02-28 14:29:15 +0100
committerAdam Harvey <adam@ahprojects.com>2019-02-28 14:29:15 +0100
commit85852a4cf2eb5cc364afd85d809cca32e998175d (patch)
tree3e2e0c9ddb42ae4a211d1f91d23b99c3385a4f2e /site/content/pages/research
parentbe343b455d3f65f268602efe0a93302a1748f493 (diff)
add images
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--- a/site/content/pages/research/01_from_1_to_100_pixels/index.md
+++ b/site/content/pages/research/01_from_1_to_100_pixels/index.md
@@ -45,4 +45,6 @@ Find specific cases of facial resolution being used in legal cases, forensic inv
- NIST report on sres states several resolutions
- "Results show that the tested face recognition systems yielded similar performance for query sets with eye-to-eye distance from 60 pixels to 30 pixels" [^nist_sres]
-[^nist_sres]: NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips \ No newline at end of file
+[^nist_sres]: NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips
+
+- "Note that we only keep the images with a minimal side length of 80 pixels." and "a face will be labeled as “Ignore” if it is very difficult to be detected due to blurring, severe deformation and unrecognizable eyes, or the side length of its bounding box is less than 32 pixels." Ge_Detecting_Masked_Faces_CVPR_2017_paper.pdf \ No newline at end of file