Generative Face from Random Data, on ‘How Computers Imagine Humans’

João Martinho Moura, Paulo-Ferreira-Lopes. 2017


In recent years, face detection technologies have been widely used by artists to create digital art. Face detection provides new forms of interaction, and allows digital artefacts to detect the presence of human beings, through video capture and facial detection, in real-time. In this paper we explore the algorithm proposed by Paul Viola and Michael Jones, presented in 2001, in order to generate imagined faces from visual randomness.

Face; Generative; Random; Perception

ISEA 2019

Publication details:

Moura, João Martinho; Ferreira-Lopes, Paulo. 2017. Generative Face from Random Data, on ‘How Computers Imagine Humans’. ARTECH 2017 – 8th International Conference on Digital Arts, p85-91. ISBN: 978-1-4503-5273-4
Macau, China.
DOI: 10.1145/3106548.3106605
Research conducted at School of Arts, CITAR, Universidade Católica Portuguesa
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