From 76f36c6c5dafe754b066903b1ee8ecdd1b92dcab Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Sun, 16 Dec 2018 20:01:23 +0100
Subject: faceSearch client

---
 site/public/research/01_from_1_to_100_pixels/index.html | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'site/public/research/01_from_1_to_100_pixels')

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>
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