3 files changed, 114 insertions, 8 deletions
diff --git a/site/content/pages/research/01_from_1_to_100_pixels/index.md b/site/content/pages/research/01_from_1_to_100_pixels/index.md
index 29204168..409dcf02 100644
--- a/site/content/pages/research/01_from_1_to_100_pixels/index.md
+++ b/site/content/pages/research/01_from_1_to_100_pixels/index.md
@@ -3,7 +3,7 @@
 status: published
 title: From 1 to 100 Pixels
 desc: High resolution insights from low resolution imagery
-tagline: 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.
+tagline: A breif description of this post, appears in the index page overview
 image: assets/intro.jpg
 slug: from-1-to-100-pixels
 published: 2018-12-04
@@ -21,23 +21,30 @@ This post will be about the meaning of "face". How do people define it? How to b
 What can you know from a very small amount of information?
 
 - 1 pixel grayscale
-- 2x2 pixels grayscale, font example
-- 4x4 pixels
-- 8x8 yotta yotta
-- 5x7 face recognition
+- 2x2 pixels grayscale, font example, can encode letters
+- 3x3 pixels: can create a font
+- 4x4 pixels: how many variations
+- 8x8 yotta yotta, many more variations
+- 5x7 face recognition 
 - 12x16 activity recognition
 - 6/5 (up to 124/106) pixels in height/width, and the average is 24/20 for QMUL SurvFace
+- (prepare a Progan render of the QMUL dataset and TinyFaces)
 - 20x16 tiny faces paper
 - 20x20 MNIST handwritten images <http://yann.lecun.com/exdb/mnist/>
 - 24x24 haarcascade detector idealized images
 - 32x32 CIFAR image dataset
 - 40x40 can do emotion detection, face recognition at scale, 3d modeling of the face. include datasets with faces at this resolution including pedestrian.
+- NIST standards begin to appear from 40x40, distinguish occular pixels
 - need more material from 60-100
 - 60x60 show how texture emerges and pupils, eye color, higher resolution of features and compare to lower resolution faces
+- 100x100 all you need for medical diagnosis
 - 100x100 0.5% of one Instagram photo
 
+Ideas:
 
-Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage
+- Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage
+- resolution of boston bomber face
+- resolution of the state of the union image
 
 
 ### Research
diff --git a/site/content/pages/research/02_what_computers_can_see/index.md b/site/content/pages/research/02_what_computers_can_see/index.md
new file mode 100644
index 00000000..c289e16b
--- /dev/null
+++ b/site/content/pages/research/02_what_computers_can_see/index.md
@@ -0,0 +1,101 @@
+------------
+
+status: draft
+title: What Computers Can See
+desc: What Computers Can See
+slug: what-computers-can-see
+published: 2018-12-15
+updated: 2018-12-15
+authors: Adam Harvey
+sync: false
+
+------------
+
+# What Computers Can See About Your Face
+
+
+A list of 100 things computer vision can see, eg:
+
+- age, race, gender, ancestral origin, body mass index
+- eye color, hair color, facial hair, glasses
+- beauty score, 
+- intelligence
+- what you're looking at
+- medical conditions
+- tired, drowsiness in car
+- affectiva: interest in product, intent to buy
+
+
+## From PubFig Dataset
+
+- Male
+- Asian
+- White
+- Black
+- Baby
+- Child
+- Youth
+- Middle Aged
+- Senior
+- Black Hair
+- Blond Hair
+- Brown Hair
+- Bald
+- No Eyewear
+- Eyeglasses
+- Sunglasses
+- Mustache
+- Smiling Frowning
+- Chubby
+- Blurry
+- Harsh Lighting
+- Flash
+- Soft Lighting
+- Outdoor Curly Hair
+- Wavy Hair
+- Straight Hair
+- Receding Hairline
+- Bangs
+- Sideburns
+- Fully Visible Forehead 
+- Partially Visible Forehead 
+- Obstructed Forehead
+- Bushy Eyebrows 
+- Arched Eyebrows
+- Narrow Eyes
+- Eyes Open
+- Big Nose
+- Pointy Nose
+- Big Lips
+- Mouth Closed
+- Mouth Slightly Open
+- Mouth Wide Open
+- Teeth Not Visible
+- No Beard
+- Goatee 
+- Round Jaw
+- Double Chin
+- Wearing Hat
+- Oval Face
+- Square Face
+- Round Face 
+- Color Photo
+- Posed Photo
+- Attractive Man
+- Attractive Woman
+- Indian
+- Gray Hair
+- Bags Under Eyes
+- Heavy Makeup
+- Rosy Cheeks
+- Shiny Skin
+- Pale Skin
+- 5 o' Clock Shadow
+- Strong Nose-Mouth Lines
+- Wearing Lipstick
+- Flushed Face
+- High Cheekbones
+- Brown Eyes
+- Wearing Earrings
+- Wearing Necktie
+- Wearing Necklace
diff --git a/site/content/pages/research/index.md b/site/content/pages/research/index.md
index 5e8a2455..0c3c5202 100644
--- a/site/content/pages/research/index.md
+++ b/site/content/pages/research/index.md
@@ -12,5 +12,3 @@ sync: false
 ------------
 
 # Research Blog
-
-### The darkside of datasets and the future of computer vision