Combined Dictionary Learning in Facial Expression Recognition

• 作者: Kaamran Raahemifar Ziyang Zhang
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: FACIAL expression RECOGNITION DICTIONARY LEARNING K-SVD
• 年，卷（期）: 2013,（3）
• 页码范围: 86-90
• 页数: 5页
• 分类号: TP39

摘要

Dictionary learning has been applied to face recognition and gets good results. However few works applied dictionary learning in facial expression recognition. This paper investigates the application of K-SVD in facial expression recognition. Since K-SVD focuses on reconstruction and lacks discriminant capability. It has similar classification performance with image pixel values. To address this problem, this paper proposes a Combined Dictionary Scheme, which uses combination of separate dictionaries. This yields better performance than the original single dictionary scheme in terms of both recognition rate and computation complexity.