Altering the Conveyed Facial Emotion Through Automatic Reenactment of Video Portraits
Presented at the International Conference on Computer Animation and Social Agents (CASA), November 2020
Abstract
Current facial reenactment techniques are able to generate results with a high level of photo-realism and temporal consistency. Although the technical possibilities are rapidly progressing, recent techniques focus on achieving fast, visually plausible results. Further perceptual effects caused by altering the original facial expressivity of the recorded individual are disregarded. By investigating the influence of altered facial movements on the perception of expressions, we aim to generate not only physically possible but truly believable reenactments.
In this paper, we perform two experiments using a modified state-of-the-art technique to reenact a video portrait of a person with different expressions gathered from a validated database of motion captured facial expressions to better understand the impact of reenactment.
BibTeX Citation
@inproceedings{groth2020altering,
title = {Altering the Conveyed Facial Emotion Through Automatic Reenactment of Video Portraits},
author = {Groth, Colin and Tauscher, Jan-Philipp and Castillo, Susana and Magnor, Marcus},
booktitle = {Proc. International Conference on Computer Animation and Social Agents ({CASA})},
organization = {Springer},
isbn = {978-3-030-63425-4},
doi = {10.1007/978-3-030-63426-1\_14},
editor = {Tian F. et al.},
volume = {1300},
pages = {128--135},
month = {Nov},
year = {2020}
}