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Generative Face from Random Data, on 'How Computers Imagine Humans'

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Published:06 September 2017Publication History

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.

References

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  1. Generative Face from Random Data, on 'How Computers Imagine Humans'

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    • Published in

      cover image ACM Other conferences
      ARTECH '17: Proceedings of the 8th International Conference on Digital Arts
      September 2017
      192 pages
      ISBN:9781450352734
      DOI:10.1145/3106548

      Copyright © 2017 ACM

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      Publication History

      • Published: 6 September 2017

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      ARTECH '17 Paper Acceptance Rate33of64submissions,52%Overall Acceptance Rate128of238submissions,54%

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