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A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution

Ouyang, S., Hospedales, T., Song, Yi-Zhe, Li, X., Loy, C.C. and Wang, X. (2016) A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution Image and Vision Computing, 56. pp. 28-48.

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Heterogeneous face recognition (HFR) refers to matching face imagery across different domains. It has received much interest from the research community as a result of its profound implications in law enforcement. A wide variety of new invariant features, cross-modality matching models and heterogeneous datasets are being established in recent years. This survey provides a comprehensive review of established techniques and recent developments in HFR. Moreover, we offer a detailed account of datasets and benchmarks commonly used for evaluation. We finish by assessing the state of the field and discussing promising directions for future research.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Ouyang, S.
Hospedales, T.
Li, X.
Loy, C.C.
Wang, X.
Date : December 2016
DOI : 10.1016/j.imavis.2016.09.001
Uncontrolled Keywords : Cross-modality face recognition; Heterogeneous face recognition; Sketch-based face recognition; Visual–infrared matching; 2D–3D matching; High–low resolution matching
Depositing User : Clive Harris
Date Deposited : 22 Jul 2019 09:50
Last Modified : 22 Jul 2019 09:50

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