Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching

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Provided by: Michigan State University
Topic: Data Management
Format: PDF
Automatic face recognition capability in surveillance systems is important for security applications. However, few studies have ad-dressed the problem of outdoor face recognition at a long distance (over 100 meters) in both daytime and nighttime environments. In this paper, the authors first report on a system that they have designed to collect face image database at a long distance, called the Long Distance Heterogeneous Face DataBase (LDHF-DB) to advance research on this topic. The LDHF-DB contains face images collected in an outdoor environment at distances of 60 meters, 100 meters, and 150 meters, with both VISible lights (VIS) face images captured in daytime and Near InfraRed (NIR) face images captured in nighttime.
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