Do Not Believe What You See: New Technology Alters Facial Expressions in Real-Time

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Did you know that every political leader on stage and on live television, could be totally generated by a computer? Through the use of Computer Vision and Pattern Recognition (CVPR), real-time facial expressions can be manipulated by anyone. Companies across the globe are rushing to get their hands on this technology because no longer does an individual have to read a script in front of a camera, or use a teleprompter. It can all be done by a computer generated image, without the person even being in front of the camera.

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Real-time facial expression swapping took off in 2015. Now, in 2016, CVPR just changed the game when it comes to live television. Real-time facial deformation technology is not new, but the use of such tech is expanding drastically. Combined with audio manipulation everything can be altered in real time.

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“We present a novel approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The source sequence is also a monocular video stream, captured live with a commodity webcam. Our goal is to animate the facial expressions of the target video by a source actor and re-render the manipulated output video in a photo-realistic fashion. To this end, we first address the under-constrained problem of facial identity recovery from monocular video by non-rigid model-based bundling. At run time, we track facial expressions of both source and target video using a dense photometric consistency measure. Reenactment is then achieved by fast and efficient deformation transfer between source and target. The mouth interior that best matches the re-targeted expression is retrieved from the target sequence and warped to produce an accurate fit. Finally, we convincingly re-render the synthesized target face on top of the corresponding video stream such that it seamlessly blends with the real-world illumination. We demonstrate our method in a live setup, where Youtube videos are reenacted in real time.”

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The Technology, called Face2Face, is set to radically change the stage of live television. The technology is being developed by The University of Erlangen-Nuremberg, Max Planck Institute for Informatics, and Stanford University.

How does this change the game? Tell us what you think in the comments below!

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Works Cited

Matthias Nießner. “ Face2Face: Real-time Face Capture and Reenactment of RGB Videos.” Matthias Nießner. . (2016): . . http://www.graphics.stanford.edu/~niessner/thies2016face.html

 

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