A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-Resolution
Publication in refereed journal


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摘要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.
著者Shuxin Ouyanga, Timothy Hospedales, Yi-Zhe Song, Xueming Li, Chen Change Loy, Xiaogang Wang
期刊名稱Image and Vision Computing
出版年份2016
月份12
卷號56
頁次28 - 48
國際標準期刊號0262-8856
電子國際標準期刊號1872-8138
語言美式英語

上次更新時間 2020-15-10 於 02:34