by M Wimmer, U Zucker and B Radig
Abstract:
A lot of promising computer vision research has been conducted in order to automatically recognize facial expressions during the last decade. Some of them achieve high accuracy, however, it has not yet been investigated how accurately humans accomplish this task, which will introduce a comparable measure. Therefore, we conducted a survey on this issue and this paper evaluates the gathered information regarding the recognition rate and the confusion of facial expressions.
Reference:
Human Capabilities on Video-based Facial Expression Recognition (M Wimmer, U Zucker and B Radig), In Proceedings of the 2nd Workshop on Emotion and Computing – Current Research and Future Impact (D Reichardt, P Levi, eds.), 2007.
Bibtex Entry:
@inproceedings{wimmer_human_2007,
author = {M Wimmer and U Zucker and B Radig},
title = {Human Capabilities on Video-based Facial Expression Recognition},
booktitle = {Proceedings of the 2nd Workshop on Emotion and Computing – Current
Research and Future Impact},
year = {2007},
editor = {Reichardt, Dirk and Levi, Paul},
pages = {7--10},
address = {Osnabrück, Germany},
month = {sep},
abstract = {A lot of promising computer vision research has been conducted in
order to automatically recognize facial expressions during the last
decade. Some of them achieve high accuracy, however, it has not yet
been investigated how accurately humans accomplish this task, which
will introduce a comparable measure. Therefore, we conducted a survey
on this issue and this paper evaluates the gathered information regarding
the recognition rate and the confusion of facial expressions.},
keywords = {facial expressions},
}