[1]Department of Transportation Engineering, Beijing Institute of Technology, Beijing 100081, E R. China [2]Department of Electronic Engineering, Tsinghua University, Beijing 100084, E R. China
Abstract:
A new method to extract person-independent expression feature based on higher-order singular value decomposition (HOSVD) is proposed for facial expression recognition. Based on the assumption that similar persons have similar facial expression appearance and shape, the person-similarity weighted expression feature is proposed to estimate the expression feature of test persons. As a result, the estimated expression feature can reduce the influence of individuals caused by insufficient training data, and henc...