RGB-D-T based Face Recognition

Facial images are of critical importance in many real-world applications from gaming to surveillance. The current literature on facial image analysis, from face detection to face and facial expression recognition, are mainly performed in either RGB, Depth (D), or both of these modalities. But, such analyzes have rarely included Thermal (T) modality. This paper paves the way for performing such facial analyzes using synchronized RGB-D-T facial images by introducing a database of 51 persons including facial images of different rotations, illuminations, and expressions. Furthermore, a face recognition algorithm has been developed to use these images. The experimental results show that face recognition using such three modalities provides better results compared to face recognition in any of such modalities in most of the cases.

If you are interested in using this database please download this NDA, fill and sign it and return it back to anaa[at]create.aau.dk (preferred) and/or know[at]create.aau.dk to get a password for downloading the database.

The NDA needs to be filled and signed by a faculty member.