Facial Reconstruction on the Basis of Video Surveillance System for the Purpose of Suspect Identification

Growing importance and commonness of video surveillance systems brings new possibilities in the area of crime suspect identification. While suspects can be recognized on video recordings, it is often a difficult task, because in most cases parts of suspect’s face are occluded. Even if there are multiple cameras, and the recordings are long enough to expose entirety of suspect’s face, it is challenging for an observer to accumulate information from different cameras and frames. We propose to solve this problem by reconstructing a three-dimensional mesh that could be presented to an observer, so he could identify suspect based on accumulated information rather than fragmented one, while choosing any angle of observation. Our approach is based on extraction of anthropological features, so that even with imperfect recordings, the most important features in terms of facial recognition are preserved, while those not registered might be supplemented with generic facial surface.