A Color Channel Fusion Approach for Face Recognition

• Main Authors: Lu, Ze, Jiang, Xudong, Kot, Alex Chichung
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2016
• Subjects: Color face recognition; Dimension reduction; Channel fusion
• Online Access: https://hdl.handle.net/10356/81594; http://hdl.handle.net/10220/39558
• Institution: Nanyang Technological University

Due to high dimensionality of images or generated color features, different color channels are usually processed separately and then concatenated together into a feature vector for classification. This makes channel fusion a crucial step in color FR systems. However, existing methods simply concatenate channel-wise color features without identifying the importance or reliability of features in different color channels. In this paper, we propose a color channel fusion (CCF) approach using jointly dimension reduction algorithms to select more features from reliable and discriminative channels. Experiments using two different dimension reduction approaches, two different types of features on 3 image datasets show that CCF achieves consistently better performance than color channel concatenation (CCC) method which deals with different color channels equally.