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Heterogeneous Face Recognition Using Kernel Prototype Similarities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Heterogeneous face recognition (HFR) involves matching two face images from alternate imaging modalities, such as an infrared image to a photograph or a sketch to a photograph. Accurate HFR systems are of great value in various applications (e.g., forensics and surveillance), where the gallery databases are populated with photographs (e.g., mug shot or passport photographs) but the probe images are often limited to some alternate modality. A generic HFR framework is proposed in which both probedoi:10.1109/tpami.2012.229 pmid:23599055 fatcat:t2do2fvx3fhtjhykkgxpwrcc3u