Tag: facial detection

All the Uhuras

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Inkjet, lapis and silvertone wash, bamboo paper, paste. Dimensions for each are H x L (68 cm x 86.5 cm).

2014

Two prints, composed of 288 cropped images of Uhura from the television show Star Trek. Each frame of the first season is analyzed with facial recognition software, and found Uhura faces are either inscribed with tattoo-like circles representing individual facial detection algorithms, or scaled, cropped, and center-aligned via sophisticated image-processing routines. To offset the explicitly computed nature of this work, the images are aligned on broken grids, and floated on an organic background of silvertone metallic or lapis mineral pigments. With Emily York.

Machine is Learning
Equal Weight Uhuras

Equal Weight Uhuras

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Two to six channel video art installation. Two to six 34 inch LED televisions, wall-mounted adjacent to each other in landscape orientation, synchronized 19:44 minute 1080p loops.

2015

Samples six characters from two seasons of Star Trek episodes, and re-constructs two seasons in a condensed form, where all the characters have the same amount of “screen time” as the character Uhura, with the added proviso that all the characters are shown talking equally to each other in a random fashion, or conversing alone with a representation of space.

The Machine Is Learning The Man Trap

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Week One

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Week Two

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Week Three

3 weeks, 2 LED displays, articulating wall mounts, pink-filtered sunlight, 8 media files. Dimensions H x L x W (6′ x 6′ x 1′).

2014

Durational video installation. Displayed videos are generated from a computational media project that uses facial and object recognition technology to create new characters and situations in classic media texts.

Two screens are mounted on a wall, slightly pointed inwards so that the shadows of the screens create eye-shaped shadows. Each screen shows a loop, which is changed every week. As the weeks progress, “the machine” leans more about detecting and recognizing faces: simultaneously recognizing more characters with greater accuracy, and yet at the same time negating the human form with an algorithmic representation of the covered face. By the last week, all faces are replaced with faceless humans with an accumulation of algorithmic depictions.

Ten Thoughts on Detection and Recognition
All the Uhuras on Paper
Notes on The Machine Is Learning
The Disquiet Artist Rant
Machine Learning Initial Statement