From 2a1b884e841efe562e0c84885a404819433b3405 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Wed, 5 Dec 2018 16:19:50 +0100 Subject: styling images --- .../research/01_from_1_to_100_pixels/index.html | 101 +++++++++++++++++++++ 1 file changed, 101 insertions(+) create mode 100644 site/public/research/01_from_1_to_100_pixels/index.html (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 new file mode 100644 index 00000000..90f142e9 --- /dev/null +++ b/site/public/research/01_from_1_to_100_pixels/index.html @@ -0,0 +1,101 @@ + + + + MegaPixels + + + + + + + + + +
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MegaPixels
+ The Darkside of Datasets + +
+ Face Search + Datasets + Research + About +
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From 1 to 100 Pixels

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Posted
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2018-12-04
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By
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Adam Harvey
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High resolution insights from low resolution data

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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.

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What can you know from a very small amount of information?

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  • 1 pixel grayscale
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  • 2x2 pixels grayscale, font example
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  • 4x4 pixels
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  • 8x8 yotta yotta
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  • 5x7 face recognition
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  • 12x16 activity recognition
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  • 6/5 (up to 124/106) pixels in height/width, and the average is 24/20 for QMUL SurvFace
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  • 20x16 tiny faces paper
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  • 20x20 MNIST handwritten images http://yann.lecun.com/exdb/mnist/
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  • 24x24 haarcascade detector idealized images
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  • 32x32 CIFAR image dataset
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  • 40x40 can do emotion detection, face recognition at scale, 3d modeling of the face. include datasets with faces at this resolution including pedestrian.
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  • need more material from 60-100
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  • 60x60 show how texture emerges and pupils, eye color, higher resolution of features and compare to lower resolution faces
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  • 100x100 0.5% of one Instagram photo
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Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage

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Research

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  • NIST report on sres states several resolutions
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  • "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" 1
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  1. NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips↩

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MORE RESEARCH

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