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

Singh, Amarjot and Patil, Devendra and Reddy, G Meghana and Omkar, S N (2017) Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network. In: 16th IEEE International Conference on Computer Vision (ICCV), OCT 22-29, 2017, Venice, ITALY, pp. 1648-1655.

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Official URL: http://dx.doi.org/10.1109/ICCVW.2017.193

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.

Item Type: Conference Proceedings
Additional Information: Copy right for the article belong to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Depositing User: Id for Latest eprints
Date Deposited: 14 Mar 2018 17:38
Last Modified: 14 Mar 2018 17:38
URI: http://eprints.iisc.ac.in/id/eprint/59188

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