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-...

Full description

Bibliographic Details
Main Authors: Dale, Kevin (Author), Sunkavalli, Kalyan (Author), Johnson, Micah K. (Contributor), Vlasic, Daniel (Author), Matusik, Wojciech (Contributor), Pfister, Hanspeter (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2012-09-27T15:34:11Z.
Subjects:
Online Access:Get fulltext