Romanticism of the Scanning Error

[Image: ScanLAB Projects].

(A different version of this post previously appeared on Gizmodo).

Matthew Shaw and William Trossell, the London-based duo known as ScanLAB Projects, continue to push the envelope of laser-scanning technology, producing visually stunning and conceptually intricate work that falls somewhere between art and practical surveying.

Their work also bears an unexpected yet increasingly pronounced political dimension, as they have scanned concentration camp sites, designed insurgent objects for thwarting police laser scanners, and even point-mapped melting ice floes in the Arctic as part of a larger study of climate change. The results are astonishingly, almost hypnotically detailed, as in this cinematic fly-through of an outdoor festival, where we pass through tent walls and very nearly see recognizable expressions on participants' faces. It's as if the future of the motion picture might really be narrative holograms.

Last week, Shaw and Trossell premiered a new project at London's Surface Gallery, exploring where laser scanners glitch, skip, artifact, and scatter. Called Noise: Error in the Void, the show utilizes scanning data taken from two locations in Berlin, but—as the show's title implies—it actually foregrounds all the errors, where the equipment went wrong: a world of "mistaken measurements, confused surfaces and misplaced three-dimensional reflections."

The tics and hiccups of a scanner gone off the mark thus result in these oddly beautiful, almost Romantic depictions of the world, like some lunatic, lo-fi cosmology filtered through machines.

Frozen datascapes appear like digital mist settling down over empty fields—or perhaps they're parking lots—a virtual Antarctica appearing in the middle of the city.

[Image: ScanLAB Projects].

Huge domes of white light burn like spherical flames above a central point that remains both mysterious and unidentified, resembling the halos of nuclear explosions or the birth of stars.

[Image: ScanLAB Projects].

Spectacular bursts of color then suggest the presence of some new stratosphere, where black airplanes roam the edge of space and clouds are nothing but processing errors in a blurred celestial rendering. Perhaps we could call it expressionist scanning.

[Image: ScanLAB Projects].

In Shaw's and Trossell's own words, "Using terrestrial LIDAR technology it is now possible to capture the world in three dimensions. This technology can create near perfect digital 3D replicas of buildings, landscapes, objects and events. But these digital replicas are always an illusion of perfection. Noise: Error in the Void explores the inherent mistakes made by modern technologies of vision. Here we see the unedited view of the world as seen through the eyes of the LIDAR machine. Reality is shrouded in a cloud of mistaken measurements, confused surfaces and misplaced three-dimensional reflections."

A short film—more like a dark ambient music video—shows some of the images in action.



In all honesty, many of the images are colored in a way that looks a bit more like a Pink Floyd laser show than the almost melancholy landscapes I like so much above, and I even made a few of these greyscale to see if, stripped of color, they could still repeat the lonely, wanderer-above-a-sea-of-fog feeling that the other images have, the benthic void of miscalculated data that nonetheless results in new worlds. But then I figured I shouldn't mess with ScanLAB's work and I left them as is.

[Images: ScanLAB Projects].

But, even here, blinded by the colors of a rave, throbbing architectural shapes rotate and spin, as if parts of London are stuttering in and out of sync with themselves, a whole city rumbling through a shockwave of digital reverb, blinking gyroscopically out of control.

[Images: ScanLAB Projects].

If you're lucky enough to be in London in the next few weeks, check out their exhibition at Surface Gallery—and, even better, if you're an architecture student, you can actually take a class with these guys. Check out their teaching work here.

(Read an earlier version of this post at Gizmodo).

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