A survey on heterogeneous face recognition
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TLDR
This survey provides a comprehensive review of established techniques and recent developments in HFR, and offers a detailed account of datasets and benchmarks commonly used for evaluation.About:
This article is published in Image and Vision Computing.The article was published on 2016-12-01 and is currently open access. It has received 114 citations till now.read more
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Journal ArticleDOI
Relational Deep Feature Learning for Heterogeneous Face Recognition
TL;DR: In this paper, a graph-structured module called Relational Graph Module (RGM) was proposed to extract global relational information in addition to general facial features, which can help cross-domain matching.
Proceedings ArticleDOI
Dual Directed Capsule Network for Very Low Resolution Image Recognition
TL;DR: DirectCapsNet as discussed by the authors utilizes a combination of capsule and convolutional layers for learning an effective very low resolution (VLR) recognition model, and incorporates two novel loss functions: (i) the HR-anchor loss and (ii) the proposed targeted reconstruction loss, in order to overcome the challenges of limited information content in VLR images.
Journal ArticleDOI
3-D Ultrasound Palmprint Recognition System Based on Principal Lines Extracted at Several Under Skin Depths
Antonio Iula,Donatella Nardiello +1 more
TL;DR: A 3-D ultrasound palmprint recognition system that accounts for principal line depth and benefits from other advantages of ultrasound, including not being sensitive to many kinds of surface contaminations and its capability to detect liveness during the acquisition phase, which makes it very difficult to counterfeit.
Proceedings ArticleDOI
Light field based face recognition via a fused deep representation
Alireza Sepas-Moghaddam,Paulo Lobato Correia,Kamal Nasrollahi,Thomas B. Moeslund,Fernando Pereira +4 more
TL;DR: This paper proposes the first deep CNN solution for light field based face recognition, exploiting the richer information available in a lenslet light field image, and for the first time, the exploitation of disparity maps together with 2D-RGB images and depth maps has been considered in the context of a fusion scheme to improve the face recognition performance.
Posted Content
Dual Directed Capsule Network for Very Low Resolution Image Recognition
TL;DR: This research presents a novel Dual Directed Capsule Network model, termed as DirectCapsNet, for addressing VLR digit and face recognition, which utilizes a combination of capsule and convolutional layers for learning an effective VLR recognition model.
References
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