FUTUREFALSEPOSITIVE
2021
real-time generative video installation
computer vision, artificial intelligence, apophenia, pareidolia, cold reading
PRESS
Ars Electronica - Interface Cult
Man, Machine and Trust, Ars Electronica Blog
Kronen Zeitung
Volksblatt
PHOTO
INTERFACE CULT - EXHIBITION SHOTS
ARS ELECTRONICA FLICKR
_
ARTWORK INTERVIEW
EXHIBITION VIDEO
_
FUTUREFALSEPOSITIVE is a project based on StyleGAN and object recognition algorithms applied to the ritual of Turkish coffee mug reading. A collection of these pictures composed the initial database out of which new images have been generated. 15000 real-life and generated images are then morphing into an animation and used to train the algorithm to recognize objects out of these random shapes created by the coffee stains and generated noise. The algorithm performs this continuous object recognition process in real time—reading the mug—while producing new visual narratives in a loop.
In this process the relation has been established between false positives in computer vision and psychological phenomena of pareidolia and apophenia. The interplay between prediction as a false positive and prophecy as apophenia - the tendency to perceive meaningful connections between seemingly unrelated things - does not only focus on absurdity but on possibilities of creative interpretation when trying to understand the technical processes behind.
*special thanks to Miloš Trifunović and Thomas Hoch
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2021
real-time generative video installation
computer vision, artificial intelligence, apophenia, pareidolia, cold reading
PRESS
Ars Electronica - Interface Cult
Man, Machine and Trust, Ars Electronica Blog
Kronen Zeitung
Volksblatt
PHOTO
INTERFACE CULT - EXHIBITION SHOTS
ARS ELECTRONICA FLICKR
_
ARTWORK INTERVIEW
EXHIBITION VIDEO
_
FUTUREFALSEPOSITIVE is a project based on StyleGAN and object recognition algorithms applied to the ritual of Turkish coffee mug reading. A collection of these pictures composed the initial database out of which new images have been generated. 15000 real-life and generated images are then morphing into an animation and used to train the algorithm to recognize objects out of these random shapes created by the coffee stains and generated noise. The algorithm performs this continuous object recognition process in real time—reading the mug—while producing new visual narratives in a loop.
In this process the relation has been established between false positives in computer vision and psychological phenomena of pareidolia and apophenia. The interplay between prediction as a false positive and prophecy as apophenia - the tendency to perceive meaningful connections between seemingly unrelated things - does not only focus on absurdity but on possibilities of creative interpretation when trying to understand the technical processes behind.
*special thanks to Miloš Trifunović and Thomas Hoch
