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From 1 to 100 Pixels

Posted

2018-12-04

Adam Harvey
Berit Gilma
Matthew Stender

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High resolution insights from low resolution data

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.

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
12x16 activity recognition
6/5 (up to 124/106) pixels in height/width, and the average is 24/20 for QMUL SurvFace
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.
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 0.5% of one Instagram photo

Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage

Research

NIST report on sres states several resolutions
"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

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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