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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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 |
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Series.: | IEEE International Conference on Computer Vision Workshops |
Publisher: | IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA |
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) |
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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