The Masking Machine is a still color digital photography series using machine learning to create masks of the artists face. Each image begins life as a simple selfie, the most quotidian, maligned, and rampant photography of our time. Next the images are feed into a landmark detection algorithm which finds the position of my facial features. Using this data the artist applied a layer of digital makeup, contact lenses, or glasses. Once saved the images are fed back into the landmark detection algorithm and the process begins again, over and over, building up eerie distorted masks of the artists face.
Whether working in a dark room, coaxing chemical systems like wet plate collodion or cyanotype, or working with a black box, bartering with the algorithms like landmark detection or style transfer, what is photography if not scientifically processed image-making through a machine? And when done recursively, feeding the same image through that process again and again the machine itself also becomes visible in the images. Like repeatedly taking a pinhole photo of a pinhole photo until nothing remains but the artifacts of the photographic process itself made visible. Our time is caked with filtered images, enlarged eyes, and whitened teeth, all enabled by nearly invisible photographic algorithms. If we are to live with them we also need to recognize and understand them and Masking Machine is here to make them seen.
Update: Masking Machine was printed and debuted at the 2020 show Recoding CripTech at SOMArts.
