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Spoofing attack can easily deceive face recognition system. In this paper, we explore the issue of face anti-spoofing with good performance in accuracy by utilizing optical flow vector on two types of attacks: photos and videos shown on high-resolution electronic screens. The key idea is to calculate the displacement of optical flow vector between two successive frames of a face video and obtain a...
Face detection is an important task in the field of computer vision, which is widely used in the field of security, human-machine interaction, identity recognition, and etc. Many existing methods are developed for image based face pose estimation, but few of them can be directly extended to videos. However, video-based face pose estimation is much more important and frequently used in real applications...
We propose a method for the automatic spotting (temporal segmentation) of facial expressions in long videos comprising of macro- and micro-expressions. The method utilizes the strain impacted on the facial skin due to the non-rigid motion caused during expressions. The strain magnitude is calculated using the central difference method over the robust and dense optical flow field observed in several...
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