Andreas‘ work is interesting as an example of computer generated work that is not directly visualising unaltered data. Although the distortion to the raw data is of the most basic kind – random numbers interfere with the raw data – it is still an example of computers breaking out of the mould of simply parroting raw data through complex and pretty visualisation techniques.
The featured image for this article is a direct visualisation of a map of global GDP, and therefore doesnt interfere with the data, but I liked his work so I have included it here.
Andreas Nicolas Fischer created a Python script that creates arrangements of intersecting digital sculptures in front of a “frozen” cloth simulation, similar to a traditional still life, but with no physical constraints. The HDR image texture used to create the reflections on the genometry was taken at his studio, placing the virtual setup in the real world. Similar to Sol LeWitt´s wall drawings, the computer is executing commands with an inherent degree of randomness, thus removing the artist one step from the work and making it impossible to anticipate the exact outcome of the process.
The chosen compositions are then be printed, framed and shown at an exhibition at the LEAP [Lab for Electronic Arts and Performances] Berlin. The whole range of rendered images during the course of the project will be shown on a designated Tumblr online gallery analyzing the crowd´s preferences as well as a video projection in the exhibition space.