발간년도 : [2016]
| 논문정보 |
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| 논문명(한글) |
[Vol.11, No.2] Similarity Enhancement of Face Recognition Performance between Real Faces and Facial Videos through Adjustment of a Display Device |
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| 논문투고자 |
Mi-Young Cho, Young-Sook Jeong, Byung-Tae Chun |
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| 논문내용 |
As face recognition technology, unlike other biometric methods, is more direct, user friendly, and convenient, it is applicable to many areas including security systems and service robot. However, the performance of face recognition systems in a real service environment does not always satisfy the expectations of users, because the performance of face recognition systems is influenced by the user's pose, expression change and lighting in the real environment. So, there is the performance gap between a real service and laboratory environment. To reduce the gap, there are many approaches using such as an algorithm, a mannequin and a high-definition photograph. Unfortunately, it has a limitation to construct a test environment in which the various situations faced by a user and an face recognition system are created similar to those encountered in real environments. Recently, with the development of the display device and capture devices, the performance evaluation method using the high-quality face video output from the display device in place of the actual human face to are proposed. In this paper, we demonstrate the similarity enhancement of face recognition performance between real face and facial videos from display device through gamma adjustment. |
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