Knowuh's twitch: Feb 15 2014
Computer generated images are characterized by their uncanny detail, crisp focus, and vivid colors. These images often leave the viewers minds underemployed.
My experiments to re-engage the viewers eye and re-introduce the hand of the artists into the digital process involve pencils, paper, and scanners.
The popularity of photo filter apps like instagram reinforce the idea that we appreciate, and maybe romanticize the imperfection of the 'human hand'. Or possibly we are fascinated by chance events, and celebrate the unpredictability of nature.
Using simulated depth of field, fake dirt and virtual scratches I have been deliberately reducing the fidelity, and legibility of these precise digital renderings. I have thought about why these changes result in more engaging imagery, but that post is for a different day.
These images were created by drawing imprecise geometric patters on paper with graphite, then scanning the images at very high resolutions. The scanned images of graphite and paper were then mapped on to (mostly) random 3D meshes, in Blender using a top-down view projection for the UV mappings.
The meshes were rendered using a very shallow depth of field in cycles at 200 samples per pixel over 25M pixels. The high-resolution renders were then mutilated by post-processing in SnapSeed – an app that I run on my phone.