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authoradamhrv <adam@ahprojects.com>2019-03-02 11:41:54 +0100
committeradamhrv <adam@ahprojects.com>2019-03-02 11:41:54 +0100
commit49aacc3d3f1cb9dba89dbc7296e8b63378883425 (patch)
tree7969e4a4441d875cbb8b3265bdddd0a62db68d7f /site/public/research
parente379b108c8869313bd9ab43a537006c4789235b8 (diff)
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-rw-r--r--site/public/research/00_introduction/index.html2
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<a href="/about/">About</a>
</div>
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<section>
<h1>00: Introduction</h1>
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
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<a href="/about/">About</a>
</div>
</header>
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<section>
<h1>From 1 to 100 Pixels</h1>
@@ -47,22 +47,31 @@
<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>2x2 pixels grayscale, font example, can encode letters</li>
+<li>3x3 pixels: can create a font</li>
+<li>4x4 pixels: how many variations</li>
+<li>8x8 yotta yotta, many more variations</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>(prepare a Progan render of the QMUL dataset and TinyFaces)</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>NIST standards begin to appear from 40x40, distinguish occular pixels</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 all you need for medical diagnosis</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>Ideas:</p>
+<ul>
+<li>Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage</li>
+<li>resolution of boston bomber face</li>
+<li>resolution of the state of the union image</li>
+</ul>
<h3>Research</h3>
<ul>
<li>NIST report on sres states several resolutions</li>
diff --git a/site/public/research/index.html b/site/public/research/index.html
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<a href="/about/">About</a>
</div>
</header>
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<section><h1>Research Blog</h1>
-<h3>The darkside of datasets and the future of computer vision</h3>
-</section><div class='research_index'><a href='/research/00_introduction/'><section class='wide'><img src='data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==' alt='Research post' /><section><h1>00: Introduction</h1><h2></h2></section></section></a><a href='/research/01_from_1_to_100_pixels/'><section class='wide'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/research/01_from_1_to_100_pixels/assets/intro.jpg' alt='Research post' /><section><h1>From 1 to 100 Pixels</h1><h2>Photographs are for romantics. For the rest of us, it's all about data. And a photo contains a massive amount of information about who you are.</h2></section></section></a></div>
+</section><div class='research_index'><a href='/research/00_introduction/'><section class='wide'><img src='data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==' alt='Research post' /><section><h1>00: Introduction</h1><h2></h2></section></section></a><a href='/research/01_from_1_to_100_pixels/'><section class='wide'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/research/01_from_1_to_100_pixels/assets/intro.jpg' alt='Research post' /><section><h1>From 1 to 100 Pixels</h1><h2>A breif description of this post, appears in the index page overview</h2></section></section></a></div>
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