Faces of Dimensionality

Faces of Dimensionality is a captivating art piece showcasing 3D printed tablets, rendered in white against a black background. At its core, this piece delves into the concept of Eigenfaces, which are visualizations of the principal component vectors derived from an extensive dataset of face images. Eigenfaces serve as a mathematical model, capturing statistical variations and correlations within facial features. In essence, they transform the complexities of human faces into a structured representation. Arranged in a grid-like formation, the Eigenfaces form an ensemble of abstract visages, inviting viewers to explore their intricate details. The monochromatic palette intensifies their visual impact, highlighting subtle contours and nuances. Through observation, viewers contemplate the complexities of human identity within statistical patterns. The Eigenfaces, devoid of specific individuals, embody the collective essence of diverse faces found in the dataset. Faces of Dimensionality merges art and technology, inviting viewers to engage with data analysis and statistical representation. It prompts reflection on the interplay between individuality and shared characteristics in a broader context. This artwork celebrates the artistic potential of scientific concepts while encouraging contemplation of human representation, dimensional interplay, and the inherent beauty within the data-driven realm. 

About the artist: Ben Kizaric is an Electrical and Computer Engineering graduate student at the University of Wisconsin whose work lies at the intersection of supervised and unsupervised machine learning. Having never picked up a paintbrush, his work involves generative and computational art. His advisor is Daniel-Pimentel and he has collaborated with Yeohyun Ahn. He is looking for work in industry.