Physical Pixels

Context:
Academic
Date:
Launch:

Material methods for recreating pixel information

A series of material explorations recreating by hand computational methods for reading, transmitting and displaying visual information.

Brief

This brief entitled “Computational Futures” encouraged us to explore hypothetical situations that challenge existing forms of and relationships between computation and the material world around us. The first part of the project involved material explorations informed by computational structures and procedures.

This part of the Computation and Materiality class resulted in both this project and my User Logic project.

Initial Workshop Experiments

In the initial workshop for this project, we created a visualization of a hypothetical sorting machine or amalgamating machine. Jeremy Eichenbaum and myself designed a Karma Kalculator. The remainder of the experiments involved manually encoding, transmitting and decoding images, and performing procedural group experiments.

Karma
Kalculator

The Karma Kalculator. View PDF

Manual Image
Transmission

The original pixelated image (on the left) was printed and we decided how dark/bright we thought each pixel was (from 0 to 5). This information was then transmitted across the room as a hand signal to the drawer, who had developed a system of hatching for each of the signals. The final result appears on the right.

Material explorations

Building on the image-transmission experiments from our initial workshop, I explored a variety of procedural methods for recreating and/or transmitting pixel information.

Pixel as Language

My first experiment involved describing a range of gradients to partipants and asking them to supply me with a square of some material which they felt matched the description I’d given them. For example, dark grey, black, almost white, etc.

This gave me a gradient from white to black to create images with:

Pixel Language
Gradient

Pixel as Language
results

Using Processing I converted images (original image in top right) to a version made up of the pixels I had been supplied with (Close-up bottom-right, downscaled middle-right).

Pixel as Angle

Taking an enlarged image, I manually converted it to pixel values by deciding how dark/bright each pixel was (from 0 to 5).

I then developed a system of folding square cuts in paper to angles which reflected these numbers.

Pixel as Angle:
Shadows

Here on white the ‘pixels’ cast different shadows at differing angles.

Pixel as Angle:
Reflections

Here on black the ‘pixels’ reflect different amounts of light at differing angles.

Pixel as Depth

This brief experiment imagined a material version of a 3d-scanner.

Pixel as
Depth

Pixel as Tea

This experiment imagined pixels translated into durations for brewing tea. Each pixel would be brewed for a particular amount of time creating a range of shades from clear to dark brown.

Tea as
Pixels

Brewing for increasing periods of 10 seconds created the following range of pixels from light to dark:

Pixel Teabag
Gradient

These pixels were then used to generate the image to the left with Processing.

Reflections

There is something I found really engaging about the procedural nature of making the various experiments that make up this project. Perhaps some of the same enjoyment that I get from writing code, although here I get to step away from the computer and use my hands.

Although just material explorations, I feel that these computational models of physical making may be worth coming back to again in future, particularly as a way of starting material research for a larger project.