| Summary: | Forensic science is any scientific field that is applied to the field of law. Due to the popularity of the digital media carriers such as images, videos, the facial recognition becomes another important forensic technique. The major issue of forensic face recognition is the unstable system performance due to internal factor, e.g., aging, and external factors, e.g., image resolution/modality, illumination, pose. In this thesis, we investigate a theoretical framework for forensic face recognition, subject to a variety of internal/external impact factors to tackle face recognition under different views, illuminations, resolutions, modalities, periods, when probe images are captured in the surveillance environments without collaborations. Specifically, we explore two scenarios as follows.
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