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Diffstat (limited to 'site/public/research/01_from_1_to_100_pixels')
| -rw-r--r-- | site/public/research/01_from_1_to_100_pixels/index.html | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html index aac4b7e1..e24e5d9a 100644 --- a/site/public/research/01_from_1_to_100_pixels/index.html +++ b/site/public/research/01_from_1_to_100_pixels/index.html @@ -43,7 +43,7 @@ </div> </section> - <section><h2>High resolution insights from low resolution data</h2> + <section><h3>High resolution insights from low resolution data</h3> <p>This post will be about the meaning of "face". How do people define it? How to biometrics researchers define it? How has it changed during the last decade.</p> <p>What can you know from a very small amount of information?</p> <ul> @@ -64,7 +64,7 @@ <li>100x100 0.5% of one Instagram photo</li> </ul> <p>Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage</p> -<p>Research</p> +<h3>Research</h3> <ul> <li>NIST report on sres states several resolutions</li> <li>"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" <sup class="footnote-ref" id="fnref-nist_sres"><a href="#fn-nist_sres">1</a></sup></li> |
