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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Bibliographic Details
Main Authors: Dale, Kevin, Sunkavalli, Kalyan, Johnson, Micah K., Vlasic, Daniel, Matusik, Wojciech, Pfister, Hanspeter
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2012
Online Access:http://hdl.handle.net/1721.1/73421
https://orcid.org/0000-0003-0212-5643