Disguised Face Identification (DFI) With Facial KeyPoints Using Spatial Fusion Convolutional Network

Amarjot Singh, Devendra Patil, Meghana Reddy, SN Omkar; Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017, pp. 1648-1655

Disguised face identification (DFI) is an extremely challenging problem due to the numerous variations that can be introduced using different disguises. This paper introduces a deep learning framework to first detect 14 facial key-points which are then utilized to perform disguised face identification. Since the training of deep learning architectures relies on large annotated datasets, two annotated facial key-points datasets are introduced. The effectiveness of the facial keypoint detection framework is presented for each keypoint. The superiority of the key-point detection framework is also demonstrated by a comparison with other deep networks. The effectiveness of classification performance is also demonstrated by comparison with the state-of-the-art face disguise classification methods.