Generative face from random data, on 'how computers imagine humans'

João Martinho Moura, Paulo Ferreira-Lopes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

In the 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.

Original languageEnglish
Title of host publicationARTECH 2017 - Interfaces of Tomorrow
Subtitle of host publication8th International Conference on Digital Arts - Proceedings
PublisherAssociation for Computing Machinery (ACM)
Pages85-91
Number of pages7
ISBN (Electronic)9781450352734
DOIs
Publication statusPublished - 6 Sept 2017
Event8th International Conference on Digital Arts, ARTECH 2017 - Macau, China
Duration: 6 Sept 20178 Sept 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F130947

Conference

Conference8th International Conference on Digital Arts, ARTECH 2017
Country/TerritoryChina
CityMacau
Period6/09/178/09/17

Keywords

  • Face
  • Generative
  • Perception
  • Random

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