Line segment notation, CC BY-SA 4.0
‘Autocolliders’ is a series of computer generated, manually curated, digital artworks of line-segment poetry, entirely made with javascript and SVG string manipulation. The algorithm consecutively examines intersecting line segments and occasionally eliminates overlaps, resulting in a sense of scale, movement and flow, as if the pieces are all part of a larger system.
The image architecture also involves concepts beyond the visual domain, such as rhythmical cycles and repetition that can be found in sound and music.
The composition of the colors was influenced by patterns and systems that can be found in abstract textile pieces from the Bauhaus, they also inherit from the soft minimal worlds of Japanese lithographs and other oriental prints, among raw, reduced and schematic color variations of electronic imagery and computer aesthetics.
Mint new editions at https://create.zora.co/collections/0xaaf51a410822bf15d7709c09a71b6e29a0b41bef
Autocollider #23
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Autocollider #23
- PriceUSD PriceQuantityExpirationFrom
- PriceUSD PriceQuantityFloor DifferenceExpirationFrom
Line segment notation, CC BY-SA 4.0
‘Autocolliders’ is a series of computer generated, manually curated, digital artworks of line-segment poetry, entirely made with javascript and SVG string manipulation. The algorithm consecutively examines intersecting line segments and occasionally eliminates overlaps, resulting in a sense of scale, movement and flow, as if the pieces are all part of a larger system.
The image architecture also involves concepts beyond the visual domain, such as rhythmical cycles and repetition that can be found in sound and music.
The composition of the colors was influenced by patterns and systems that can be found in abstract textile pieces from the Bauhaus, they also inherit from the soft minimal worlds of Japanese lithographs and other oriental prints, among raw, reduced and schematic color variations of electronic imagery and computer aesthetics.
Mint new editions at https://create.zora.co/collections/0xaaf51a410822bf15d7709c09a71b6e29a0b41bef