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arXiv · 1708.09317

Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network

Amarjot Singh·Devendra Patil·G Meghana Reddy·SN Omkar
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Abstract

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.

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Amarjot Singh, Devendra Patil, G Meghana Reddy, SN Omkar. 2017-08-30. Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network. https://arxiv.org/abs/1708.09317

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