Michael Snow with the machine used for filming La Région Centrale
In 1971, Michael Snow spent five days atop a lonely mountain in North Quebec. He was making a film, or supervising a film that was being made by his robotic companion, depending on how you think about it. The film that robot made is called La Région Centrale: over the course of three hours, the machine runs through all its programmed motions, capturing every possible view of the barren mountain. Certainly, at least some of the images would have been overlooked by a human filmmaker.
Despite its lack of human warmth, Snow's film retains a mystical slant: the film is somehow purer for being supposedly unpolluted by the artist's direct physical control over the camera, and the machine bears witness to a primal landscape with nearly cosmic objectivity. The saintliness of La Région Centrale was possible not only because it played off of the machine's lack of learned perception (the machine couldn't find beauty in a landscape or respectably frame a shot), but also because the machine couldn't process the landscape as information.
Snow's sketch of the machine
Timo Arnall's short film Robot Readable World investigates the exact opposite: how robot-eyes gather information from the cityscapes, mediascapes, and people. On display in the video are the brightly colored squares, rectangles, circles, and lines that recognize cars, faces, doors and everything else that robots see. In our contemporary security-obsessed climate, robots and computer vision are tasked with growing responsibilities to survey urban and rural environments. Instead of following Matt Jones' suggestion that "instead of designing computers and robots that relate to what we can see, we meet them half-way–covering our environment with markers, codes and RFIDs, making a robot-readable world,” these machines read a world without man-made markers permitting robo-legibility....
READ ON »