Similarity between real faces and facial videos from a display device: a face recognition perspective

Face recognition technology is more direct, user friendly, and convenient compared to other biometric methods. Recently, it has become a widely applied intelligent service robots. However, the performance of facial recognition engines does not always satisfy the expectations of users. This can affect the reliability of robots, for example, that implement a face recognition function. A majority of facial recognition performance test methods use static images that cannot reflect dynamic factors. Consequently, there is a disparity between the performance of the algorithms and performance in real service environments. Moreover, the performance of a face recognition engine cannot guarantee the performance of a robot. Although user demand for performance is increasing, it is difficult to evaluate owing to a lack of test methods and testing environments. In this paper, we demonstrate the similarity between real faces and facial videos from the perspective of face recognition and prove the effectiveness of the evaluation method using a display device.