Video face replacement

We present a method for replacing facial performances in video. Our approach accounts for differences in identity, visual appearance, speech, and timing between source and target videos. Unlike prior work, it does not require substantial manual operation or complex acquisition hardware, only single-...

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Bibliografische gegevens
Hoofdauteurs: Dale, Kevin, Sunkavalli, Kalyan, Johnson, Micah K., Vlasic, Daniel, Matusik, Wojciech, Pfister, Hanspeter
Andere auteurs: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Formaat: Artikel
Taal:en_US
Gepubliceerd in: Association for Computing Machinery (ACM) 2012
Online toegang:http://hdl.handle.net/1721.1/73421
https://orcid.org/0000-0003-0212-5643