Warrior

 

3D model rendered in vectors and laser cut on a painted wood panel.

Laser  Gabriel Pulecio

Warrior | 30x60cm laser cut, wooden panel, acrylics

2Oct16 | Warrior

30x60cm laser cut, wooden panel, acrylics

Warrior | 30x60cm laser cut, wooden panel, acrylics

2Oct16 | Warrior

30x60cm laser cut, wooden panel, acrylics

Warrior | 30x60cm laser cut, wooden panel, acrylics

2Oct16 | Warrior

30x60cm laser cut, wooden panel, acrylics

category: photo, tags , , , , ,

Natural Glitch
Natural Glitch

29Sep16 | Natural Glitch

Natural Glitch

29Sep16 | Natural Glitch

Natural Glitch

29Sep16 | Natural Glitch

Natural Glitch

29Sep16 | Natural Glitch

Natural Glitch

29Sep16 | Natural Glitch

Natural Glitch

29Sep16 | Natural Glitch

category: image, tags ,

FaceCut

 

3D model rendered in vectors and laser cut on a painted wood panel.

Laser  Gabriel Pulecio

FaceCut | 30x40cm laser cut, wooden panel, acrylics

28Aug16 | FaceCut

30x40cm laser cut, wooden panel, acrylics

FaceCut | 30x40cm laser cut, wooden panel, acrylics

28Aug16 | FaceCut

30x40cm laser cut, wooden panel, acrylics

FaceCut | 30x40cm laser cut, wooden panel, acrylics

28Aug16 | FaceCut

30x40cm laser cut, wooden panel, acrylics

category: painting, tags , , , , ,

Finite Image Generator
Self Portrait | A single number that represents the sequential iteration of color variations, that make up a portrait in the given digital canvas. | USA | New York

30May16 | Self Portrait

A single number that represents the sequential iteration of color variations, that make up a portrait in the given digital canvas.

A fundamental artifact of any digital imaging device is that it samples an infinite reality and encodes it in a finite data-set. A digital image is essentially a series of color values and its definition is limited by the size of the data it holds (number of pixels and color depth). The experimental software FIG exploits this artifact and attempts to iterate through all the possible color combinations a digital canvas can hold. Since any image can be digitized, we should also expect that any and every representation can be found in one of these possible color combinations. FIG guarantees that with enough time, it will eventually generate every possible image.

At the present time this only works in a theoretical level, as even when running at 60 iterations per second, it would require a little less than 10 billion years (or almost the age of the known universe) to iterate through all the images of an 8×8 pixels image and just 2 colors. But as the processing power of computers keeps increasing alongside the fast progress in quantum computing, we may eventually be able to brute force the generation of all images and filter the meaningful ones out of the chaos. In a potential future version of this software, the output images can be passed into an image recognition algorithm which would identify, aggregate and categorize human recognizable results and allow us to see everything that can be seen.

So will happen if and when we get to that point?
Could this ever challenge human creativity?
Who would own the intellectual property of all the pictures?

 

For more information and to use the Finite Image Generator, please visit fig.ch3.gr

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New Orleans
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