diff options
| author | adamhrv <adam@ahprojects.com> | 2019-03-02 11:41:54 +0100 |
|---|---|---|
| committer | adamhrv <adam@ahprojects.com> | 2019-03-02 11:41:54 +0100 |
| commit | 49aacc3d3f1cb9dba89dbc7296e8b63378883425 (patch) | |
| tree | 7969e4a4441d875cbb8b3265bdddd0a62db68d7f /site/public/research/01_from_1_to_100_pixels | |
| parent | e379b108c8869313bd9ab43a537006c4789235b8 (diff) | |
css tweaks
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 | 21 |
1 files changed, 15 insertions, 6 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 c11e966e..87a08886 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 @@ -25,7 +25,7 @@ <a href="/about/">About</a> </div> </header> - <div class="content"> + <div class="content content-"> <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> |