In The Image of the City Kevin Lynch stated that there is a public image of any given city that is composed by overlapping many individual images and also each individual image is unique. How about reversing this process of perceiving the most distinctive elements in the urban landscape to give shape to individuals' mental representation of the city into an inverse process of perceiving the most distinctive elements in the painting to give shape to a mentally constructed city?

Our project simulates how a museum visitor extracts the elements of the city painting: lines, colors, shapes, etc., and generates a unique city image with their own interpretation. It explores the human brain’s capacity to reach its own subconscious and offers an avant-garde form of aesthetics for the city’s skyline.

The project's process entails deconstructing the mesh of a scanned portrait model, which represents the audience of the painting, and reconstructing the portrait model with Claude Monet’s cityscape painting into an abstract city skyline. This is achieved using Vanilla Grasshopper and C# programming.