Face Recognition Grand Challenge (FRGC) Dataset

The main problem of face recognition technology is its relatively low recognition rate. In an attempt to improve the situation, NIST set up the Face Recognition Grand Challenge (FRGC)[1] in 2004 which aims to improve performance of face recognition systems by an order of magnitude. NIST has created large datasets of 2D images, 3D facial meshes and multiple 2D images.

[1] P. J. Phillips, P. Flynn, T.Scruggs, K.W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W. Worek. Overview of the Face Recognition Grand Challenge. In Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR05), San Diego, CA, June 2005.

UH Dataset

For the purposes of our research, we have compiled a multimodal database containing visible images, IR images,and 3D data. The data were acquired during 2004 and containing a total of 356 datasets.