eigenSpace – dimensional spaces indexing other spaces


A CAAD 2012 MAS Thesis by Aleksandar Lalovic on Principle Component Analysis (PCA) of architectural space.

PCA has been used extensively in facial recognition procedures and although this procedure has been defined and familiar for a while now, images generated during this procedure were mostly a by-product instead of focus point. The goal of this research is to try and use PCA to synthesize images of space objects that could potentially be of use for analytical or design purpose … the result are super-complex spatial constellations which somehow memorize other linked spaces. >>>

the original corridor images

the first two eigenImages: