Revisit of Region-Feature Combinations in Facial Analysis

Facial analysis has significant applications in human-computer interaction and multimedia communication research. In this paper, we aim to investigate the impact of facial regions and features in the facial analysis tasks. In particular, we compare the performances of various facial features extracted from different regions in two specific tasks, namely, age group prediction and twin recognition. Furthermore, we also evaluate the fusion of handcrafted features and deep learning features in both tasks. Through the experiments, we highlight different impacts of facial regions and facial features combination in facial analysis tasks.