3D Scanning Technologies for Human Face Expression Recognition: A Comparison Framework

Abstract

In the last few years, application fields for face analysis have considerably increased, phenomenon that has been fed by a significant improvement of acquisition technologies. In this work, the focus is pointed on face expression recognition, which aims to recognize user's feelings through the analysis of facial data for different applications that moves from security to marketing domain. Data considered in this research are those acquired from 3D cameras that seem to provide more reliable performances rather than 2D devices, especially in "nonstandard" working conditions. This study aims to create a framework able to support a systematic analysis and comparison of 3D acquisition technologies to support the development of real-time applications, with a specific focus on RGB-D.