Computer Vision Art

Hseng Tai Lintner and Maxime Lefebvre

Sampling Pixel Pigments, (2017)

The project interrogates post-digital representation, materialism and form through an investigation of data as substance using the sampling of the already-made. Through the employment of iterative photographic scanning as well as data and image processing as an alternative means of generating geometry, the project breaks away from both direct and computational euclidean modelling logic. Exploring this paradigmatic shift away from the monolithicity of conventional linear design and production protocols demands a speculatory study of new modes of vision and extrapolating data. The project establishes a non-hierarchical looping workflow that navigates between the physical and the digital through the deployment of new techniques for seeing, revealing, interpreting, and compositing as devices for design. These techniques enable us to intervene in the selection and conversion of data in the sampling process, allowing for alternative methods for reconstructing objects that are not concerned with fidelity. In place of any notions of translation, the project adheres to our contemporary culture of appropriation, copying and reproduction and exploits the discrepancies and gaps in the sampling process. It is a process that adopts the dirty, noisy, incomplete and imperfect in the application of techniques, composition and aesthetics.

Credits: SCI-Arc, Peter Testa