A parametric survey for facial expression database

Abstract

In an effort to exploring the wealth of individual and social signals conveyed by human facial cues, collecting a high quality facial database is a resource-intensive yet important task, not to mention the manual labeling the captured emotional facial expressions, which can be error prone and expensive. To date, most facial expression analysis has been based on the databases which are, however, often plagued for limited scale, lack of flexibility and static, etc. Furthermore, many existing facial expression databases are even lack of categorization and detailed organization, not to mention the functional analysis. A comprehensive survey then become necessary for current analysis and future design. This paper surveys the current representative facial expression databases, we have analyzed and categorized facial expression databases according to the functional and non-functional attributes. Our survey provides a basis for comparison of existing databases. In doing so, we assist the readers to gain insights into the technology, strategies, and practices that are currently followed in this field. © 2012 Springer-Verlag.