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A desktop application with achromatopsic computer vision for interpreting images as texts, with ladybugs as alphabetic intermediary

by Adriana Ramić, 2018

A desktop application with achromatopsic computer vision for interpreting images as texts, with ladybugs as alphabetic intermediary

Curious what would happen if I could ask a computer to interpret an image as a crude sequence of letters, I wrote a program, BUBAMARA-OCR, that could infer a text based on Latin alphabet from an image using a computer vision algorithm. Ladybirds, chosen for their roles as predictive and fateful messengers, both biologically observed and reimagined by generative adversarial networks, were the intermediary between photo and alphabet — each letter having its own corresponding ladybird. Whatever ladybird — each section of the image looked like most determined the letter that the program would output.

quote taken from this article (pdf)

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