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diff --git a/site/public/research/from_1_to_100_pixels/index.html b/site/public/research/from_1_to_100_pixels/index.html new file mode 100644 index 00000000..751e885b --- /dev/null +++ b/site/public/research/from_1_to_100_pixels/index.html @@ -0,0 +1,101 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey<br> Berit Gilma<br> Matthew Stender" /> + <meta name="description" content="High resolution insights from low resolution imagery" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search">Face Search</a> + <a href="/datasets">Datasets</a> + <a href="/research/from_1_to_100_pixels/">Research</a> + <a href="/about">About</a> + </div> + </header> + <div class="content"> + + <section> + <h1>From 1 to 100 Pixels</h1> + <div class='meta'> + <div> + <div class='gray'>Posted</div> + <div>2018-12-04</div> + </div> + <div> + <div class='gray'>By</div> + <div>Adam Harvey<br> Berit Gilma<br> Matthew Stender</div> + </div> + + </div> + </section> + + <section><h2>High resolution insights from low resolution data</h2> +<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> +<li>1 pixel grayscale</li> +<li>2x2 pixels grayscale, font example</li> +<li>4x4 pixels</li> +<li>8x8 yotta yotta</li> +<li>5x7 face recognition</li> +<li>12x16 activity recognition</li> +<li>6/5 (up to 124/106) pixels in height/width, and the average is 24/20 for QMUL SurvFace</li> +<li>20x16 tiny faces paper</li> +<li>20x20 MNIST handwritten images <a href="http://yann.lecun.com/exdb/mnist/">http://yann.lecun.com/exdb/mnist/</a></li> +<li>24x24 haarcascade detector idealized images</li> +<li>32x32 CIFAR image dataset</li> +<li>40x40 can do emotion detection, face recognition at scale, 3d modeling of the face. include datasets with faces at this resolution including pedestrian.</li> +<li>need more material from 60-100</li> +<li>60x60 show how texture emerges and pupils, eye color, higher resolution of features and compare to lower resolution faces</li> +<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> +<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> +</ul> +<div class="footnotes"> +<hr> +<ol><li id="fn-nist_sres"><p>NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips<a href="#fnref-nist_sres" class="footnote">↩</a></p></li> +</ol> +</div> +</section> + + <section> + <h3>MORE RESEARCH</h3> + <div class='blogposts'> + + </div> + </section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> +<script src="/assets/js/app/site.js"></script> +</html>
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