English

IMU2Face: Real-time Gesture-driven Facial Reenactment

Computer Vision and Pattern Recognition 2018-01-08 v1

Abstract

We present IMU2Face, a gesture-driven facial reenactment system. To this end, we combine recent advances in facial motion capture and inertial measurement units (IMUs) to control the facial expressions of a person in a target video based on intuitive hand gestures. IMUs are omnipresent, since modern smart-phones, smart-watches and drones integrate such sensors, e.g., for changing the orientation of the screen content, counting steps, or for flight stabilization. Face tracking and reenactment is based on the state-of-the-art real-time Face2Face facial reenactment system. Instead of transferring facial expressions from a source to a target actor, we employ an IMU to track the hand gestures of a source actor and use its orientation to modify the target actor's expressions.

Keywords

Cite

@article{arxiv.1801.01446,
  title  = {IMU2Face: Real-time Gesture-driven Facial Reenactment},
  author = {Justus Thies and Michael Zollhöfer and Matthias Nießner},
  journal= {arXiv preprint arXiv:1801.01446},
  year   = {2018}
}

Comments

https://youtu.be/UXGodiDAqiE

R2 v1 2026-06-22T23:36:36.785Z