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

dc.contributor.authorMoura, João Martinho
dc.contributor.authorFerreira-Lopes, Paulo
dc.date.accessioned2018-11-06T18:15:07Z
dc.date.available2018-11-06T18:15:07Z
dc.date.issued2017
dc.description.abstractIn 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMoura, J. M., Ferreira-Lopes, P (2017). Generative Face from Random Data, on ‘How Computers Imagine Humans’. In ARTECH2017 Proceedings of the 8th International Conference on Digital Arts, Macau, China, 06-08 September. (pp. 85-91). New York: ACMpt_PT
dc.identifier.doi10.1145/3106548.3106605pt_PT
dc.identifier.eid85032488601
dc.identifier.isbn9781450352734
dc.identifier.urihttp://hdl.handle.net/10400.14/25994
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherACMpt_PT
dc.subjectFacept_PT
dc.subjectGenerativept_PT
dc.subjectRandompt_PT
dc.subjectPerceptionpt_PT
dc.titleGenerative face from random data, on 'how computers imagine humans'pt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.titleARTECH2017: Proceedings of the 8th International Conference on Digital Artspt_PT
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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