WaVyScApE

WaVyScApE ,  2022
is based on a morphing blob shape, which motion trails create landscape-like deformation structures.



after many years of living in big cities, i sometimes found myself escaping to the countryside. on a trip through the alps, i’ve been immersed in a beautiful landscape.

i was shocked by the vastness, depth, and rhythmic beauty of this landscape. from this moment, the theme “landscape” became a constant companion of my artistic work.

soft rolling hills that gently swing into each other, to the depths of the overlying rugged ridges, followed by billowing cloud banks. this kind of loving frequency became one of my most-worked-on topics of the last 10 years.

nevertheless, it was never my ambition to create landscape illustrations. rather, through the joy of playing with code, many different abstract structures led me to this sort of linear turbulence, which can sometimes leave a pleasant impression of “familiarity”.
however, an openness that stimulates the imagination has always been important to me, less out of concept, more out of intuition.

technically, wavyscape is based on a softly morphing blob shape that travels from left to right and vice versa. each wavescape uses a combination of slightly random turns, slowly pulsating a growing or shrinking sine, and randomly coloring each row from a palette of 33 predefined color tables with a partial slight randomness.

 

33 color arrays within an array

 

 

selected generative output:

 

[nggallery id=241]

 

 

generative output 100x:

 

 

 

 

library: p5js
license: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

 

swirl

V_Flower_PLUS_03-06

 

swirl series, 2009
based on a rotating bezier curve and color map read out.

 

 

[nggallery id=42]

 

 

de jong

 

de jong series, 2008

these works are based on the simple Peter de Jong map equations:
x’ = sin(a * y) – cos(b * x)
y’ = sin(c * x) – cos(d * y)

For most values of a,b,c and d the point (x,y) moves chaotically. The resulting image is a map of the probability that the point lies within the area represented by each pixel. As you let it render longer it collects more samples and this probability map and the image becomes more accurate.
Details »

barnsley penrose

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spectr|a|um

spectraum01
spectr|a|um audio visual lounge
29. september 2007, Dexia Tower Brussels
LAB[au] and Dexia Tower invite:
Holger Lippmann (photos),  Limitatzero,  Olaf Bander
[nggallery id=92]