Static Facial Expression Analysis in Tough Conditions: Data, Evaluation Protocol and Benchmark

Date

2011

Authors

Dhall, Abhinav
Goecke, Roland
Lucey, Simon
Gedeon, Tamas (Tom)

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE Computer Society

Abstract

Quality data recorded in varied realistic environments is vital for effective human face related research. Currently available datasets for human facial expression analysis have been generated in highly controlled lab environments. We present a new static facial expression database Static Facial Expressions in the Wild (SFEW) extracted from a temporal facial expressions database Acted Facial Expressions in the Wild (AFEW) [9], which we have extracted from movies. In the past, many robust methods have been reported in the literature. However, these methods have been experimented on different databases or using different protocols within the same databases. The lack of a standard protocol makes it difficult to compare systems and acts as a hindrance in the progress of the field. Therefore, we propose a person independent training and testing protocol for expression recognition as part of the BEFIT workshop. Further, we compare our dataset with the JAFFE and Multi-PIE datasets and provide baseline results.

Description

Keywords

Keywords: Data sets; Different protocols; Evaluation protocol; Expression recognition; Facial expression analysis; Facial Expressions; Human faces; Human facial expressions; Person-independent; Quality data; Realistic environments; Robust methods; Standard protocol

Citation

Source

Proceedings of IEEE International Conference on Computer Vision (ICCV 2011)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/ICCVW.2011.6130508

Restricted until

2037-12-31