A Fine Grained Survey over the Recognition of Face and Face Expressions: Databases, And Methods

Abstract

Over the last few years, Face Recognition and Face Expression Recognition have attained a great research interest due to their adaptability for several real time applications like Human Computer Interfaces (HCI), Real time visual surveillance, subject tracking and social networking etc. However, the recognition of faces as well as face expressions is very much challenging task in real time. Due to this, to achieve more recognition performance, different authors have developed different methods. In this paper, we have outlined a detailed survey of Face Recognition (FR), Face Expression Recognition (FER) and Micro Expression Recognition (MER) which includes commonly two stages such as pre-processing and recognition. In this survey paper, we have surveyed several FR, FER and MER approaches and their major contributions. A Detailed comparison is also explored based on the Feature extraction method, Classifier used and the data based accomplished for validation. Databases like ORL, FERET, YALE, JAFFE, CK+, and CASME and some more databases are discussed briefly in this survey. Finally the concluding remarks are stipulated at the end of paper.