Transformation of Portraits to Picasso’s Cubism Style

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dc.contributor.VIAF65983012 (Zhang, K)
dc.contributor.authorLian, G.
dc.contributor.authorZhang, Kang
dc.contributor.utdAuthorZhang, Kang
dc.date.accessioned2020-02-19T17:58:10Z
dc.date.available2020-02-19T17:58:10Z
dc.date.issued2019-05-07
dc.descriptionDue to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article).
dc.description.abstractThis paper presents an approach to the transformation of portrait photographs to Picasso’s cubism style using deep learning and image processing techniques. We obtain the side-view face by rotating the face model constructed from a frontal portrait image 90⁰ and then replace the left half of the portrait by the side-view face. Our approach is applicable to online transformation of selfie photographs and potentially extendable to broader categories of images and artistic styles. ©2019, Springer-Verlag GmbH Germany, part of Springer Nature.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationLian, G., and K. Zhang. 2019. "Transformation of portraits to Picasso’s cubism style." Visual Computer, doi: 10.1007/s00371-019-01661-2
dc.identifier.issn0178-2789
dc.identifier.urihttp://dx.doi.org/10.1007/s00371-019-01661-2
dc.identifier.urihttps://hdl.handle.net/10735.1/7281
dc.language.isoen
dc.publisherSpringer Verlag
dc.rights©2019 Springer-Verlag GmbH Germany, part of Springer Nature
dc.source.journalVisual Computer
dc.subjectCubism
dc.subjectImage processing
dc.subjectPhotography
dc.subjectModeling
dc.subjectPortrait photography
dc.titleTransformation of Portraits to Picasso’s Cubism Style
dc.type.genrearticle

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