Case Study

Noise Shift - Generative Installation

Noise Shift cover artwork

Overview

Technologies

  • Project Type: New Media | Generative Art | JavaScript | WebGL | Interactive Installation
  • Built & tested with: JavaScript, WebGL, HTML, CSS, Ableton

Concept

Noise Shift is a generative art piece created using the JavaScript programming language. The art consists of a 3D object which is manipulated by the input of a Perlin Noise algorithm. The scene which holds the object loops indefinitely while generating a new shape for every loop.

This concept derived from the Deconstruction school of thought by Jacques Derrida. The idea that interpretation is dependent on context sparked the inspiration to create a piece that visually symbolizes different perspectives on a sole object. The perception of context changes based on experience, similar to the rotating 3D object which adapts based on the algorithmic input.

Installation Frames

Noise Shift frame one
Noise Shift frame two
Noise Shift frame three
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