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A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution
2016
Image and Vision Computing
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 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
doi:10.1016/j.imavis.2016.09.001
fatcat:hy666szkk5bgfoazyxgwy6hli4