Cooperative Face Liveness Detection from Optical Flow

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The method enhances face liveness detection, significantly improving accuracy in identifying genuine faces.
Analyses using predictive optical flow and RGB frames show better performance against various presentation attacks.
A cooperative approaching-face protocol enables the robust extraction of facial volume information crucial for detection.
Utilizing a neural classifier leverages spatial-temporal features for a more reliable liveness detection method.

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This method improves face liveness detection by analyzing optical flow and addressing presentation attacks.

Sokolov et al. (2025) studied this question.

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