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On the Effects of Illumination Normalization with LBP-Based Watchlist Screening
[chapter]
2015
Lecture Notes in Computer Science
Still-to-video face recognition (FR) is an important function in several video surveillance applications like watchlist screening, where faces captured over a network of video cameras are matched against reference stills belonging to target individuals. Screening of faces against a watchlist is a challenging problem due to variations in capturing conditions (e.g., pose and illumination), to camera inter-operability, and to the limited number of reference stills. In holistic approaches to FR,
doi:10.1007/978-3-319-16181-5_13
fatcat:lnapgsu5ezfxdnf3dzcghgn37m