Facial Hair Tracking for High Fidelity Performance Capture
We demonstrate the proposed capture pipeline on a variety of different facial hair styles and lengths, ranging from sparse and short to dense full-beards.
July 24, 2022
ACM SIGGRAPH 2022
Authors
Sebastian Winberg (DisneyResearch|Studios/ETH Zurich)
Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD)
Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD)
Paulo Gotardo (DisneyResearch|Studios)
Derek Bradley (DisneyResearch|Studios)
Facial Hair Tracking for High Fidelity Performance Capture
Facial hair is a largely overlooked topic in facial performance capture. Most production pipelines in the entertainment industry do not have a way to automatically capture facial hair or track the skin underneath it. Thus, actors are asked to shave clean before face capture, which is very often undesirable. In this paper, we propose the first multiview reconstruction pipeline that tracks both the dense 3D facial hair, as well as the underlying 3D skin for entire performances. We demonstrate the proposed capture pipeline on a variety of different facial hair styles and lengths, ranging from sparse and short to dense full-beards.